Cardiocode Creators: Research & Development Team
No.25 December 2022
Cardiometry practice. Part 2
In this study, five heavy metals (Zn, Fe, Pb, Cu, and Cd) concentrations were measured in samples of kerosene (locally only) that collected from different of warehouses oils in Iraq. The measurements have been done using Atomic Absorption Spectrophotometer.
Heavy metalsKeroseneAASCancer riskIraqi markets
Biological effect of copper oxide nanoparticles synthesized by Saccharomyces boulardii against of multidrug resistant bacteria isolated from diabetic foot infections
In this study, copper oxide nanoparticles are produced using the probiotic Saccharomyces boulardii in order to assess their biological activity.
Biosynthesis CuO NPsSaccharomyces boulardiiAntibiofilmAntimicrobialAntioxidant Activity
Reverse cardiac remodeling response and its effect on quality of life after initiation of sacubitril/valsartan in heart failure with reduced ejection fraction
To evaluate if switching therapy from an angiotensin converting enzyme inhibitors (ACEI) or angiotensin II receptor blockers (ARB) to sacubitril/valsartan induces incremental left ventricular (LV) reverse remodeling and the effect of switching on quality of life (QOL) in heart failure with reduced ejection fraction (HFrEF).
Reverse Cardiac Remodeling ResponseSacubitril/valsartanHeart FailureReduced Ejection FractionQuality of Life
India's reputation as a country withstrong abstinence culture, particularly when it comes to alcohol, is underappreciated.In recent years, the country has experienced a tremendous development of metropolitan pubs and nightclubs, and it is quickly losing its inhibitions about drinking as a lifestyle choice.
AlcoholAlcohol abuseAlcohol use disorderCounsellingResilience
This study focuses on cardiac patients' knowledge of high blood pressure. Blood pressure (BP) beyond 140/90 mm Hg is considered to be hypertension. It is closely linked to unfavorable conditions like heart diseases, renal disease and vascular diseases.
KnowledgeBlood PressureCardiac DiseasePrimary Hypertension
A study on assess the knowledge towards warning signs of breast cancer and prevention among the 4th year b.Sc nursing student from sbcn
The most life-threatening illness that is the primary cause of female morality is Breast cancer. Breast cancer research has led to extraordinary breakthroughs in our understanding of the illness over the last two decades, leading in more effective medicines.
Breast CancerBreast Self ExaminationWarning SignsLifestyle ModificationMammography
Effectiveness of Foot reflexology on level of fatigue among peripheral neuropathy, patient with Tuberculosis
In India, Tuberculosis has been mentioned in the Vedas and the old Ayurvedic scriptures. Historically speaking, fight against Tuberculosis in India can be broadly classified into three periods: early period, before the discoveries of x-ray and chemotherapy; post-independence period, during which nationwide Tuberculosis control programs were initiated and implemented; and the current period, during which the ongoing WHO-assisted Tuberculosis control program is in place.
EffectivenessFoot reflexologyTuberculosis patientsPeripheral neuropathy
Effectiveness of video assisted teaching programme on knowledge and attitude regarding hemodialysis among patients with chronic renal failure
Chronic Renal Failure is a worldwide public health problem with an increasing incidence and prevalence, poor outcomes and high costs. The health teaching regarding hemodialysis and self care is important to improve the health and well being for patients with chronic renal failure.
Mental disorder Autism Spectrum Disorder (ASD) is a neurodevelopmental disorder that affects a person's behaviour and communication. In today's world, ASD is gaining energy faster than ever before, limiting social and cognitive capacities while exhibiting varying expressions from one person to the next.
Naïve BayesSupport Vector MachinesAutism Spectrum DisorderArtificial IntelligenceFeatures
Wireless Body Area Network (WBAN) is several wearable sensor nodes with unstable sensing, storage, computation, and communication capabilities. Heart infection is an essential origin of death internationally, and early recognition is vital in avoiding the development of the infection.
Ensemble learningWireless body area networkInternet of thingsClassificationRegression treeForecasting heart risk
As a result of the fast development of technology, healthcare systems have rapidly morphed into an all-pervasive environment that is replete with a variety of difficulties and possibilities. Threats and assaults with severe societal effects have been launched due to the increasing popularity of WBANs and their features and applications.
Malicious sensor detectionPublic key Cryptography Kerberos authentication Protocol WBAN
A study to assess the effectiveness of breathing exercises using Hoberman Sphere on respiratory efficacy among post operative children aged between 6-12 years in selected hospital
The present study aim was to assess the effectiveness of breathing exercises using hoberman sphere on respiratory efficacy among post operative children aged between 6-12 years in Saveetha Medical College and Hospital, Chennai.
Breathing ExercisesHoberman SphereRespiratory EfficacyPost Operative Children (6-12 yrs)
The present study aims to assess the physiological and biochemical effects of online gaming among children at Veepampattu.
Online gamingChildrenBio chemical
A comparative study to assess the blood sugar level of post covid patients with diabetes patients and non diabetic clients
The present study aims to compare and assess the blood sugar level among post COVID patients with diabetes patient and non diabetic clients in Saveetha Medical College and Hospital.
AssessHbA1c variabilityPost COVIDDiabetic and Non-Diabetic patients
Dyspepsia is a common gastrointestinal (GI) condition around the world. Dyspepsia is a symptom complex that includes a variety of upper GI symptoms such as epigastric pain or burning, early satiety, and post-prandial fullness.
Obstructive sleep apnea (OSA) is characterized by recurrent complete (apneas) and partial (hypopneas) upper airway obstructive.The Obstructive Sleep Apnea is one of the leading risk factor for coronary heart diseases and heart failure.
This paper provides a foundation to examine the dermoscopic images for skin cancer diagnosis. A dermoscopic image will often include textured areas that make up a major amount of the image. It is conceivable to organize and categorize such textures according to whether they are related with artifacts or if they reflect biological structure.
Skin cancerDermoscopic imagesTexturesImage analysisComputerized systems
The penetration of technology & media advances into football has improved referees' choices on contestable objectives.
VARFootballTechnologyGoal Line TechnologyRefereeGoalOffside
With the advent of globalization, concepts like medical tourism, wellness tourism, healthcare tourism, and medical migration have gained popularity.
Medical TravellerHealthcareThematic linkageCluster themesOpportunities
Connecting the dots in ‘Rarest of rare’: Is judicial discretion the perfection of reason? Tracking judicial discretion in death penalty cases in India
In order to restrict the imposition of the death penalty to an extremely narrow band of cases, the Supreme Court of India laid down the principle of 'rarest of rare' guiding but not fettering the sentencing discretion of judges.
Rarest of rareDiscretionDeath penaltySentencing guidelinesSentencing Commission
What we are and have - to behave: behavioural problems and nutritional status of children from an urban slum in Pune
Slums are high-risk environments for children, which increase the likelihood of development of behavioral problems and poor nutritional status. A definite relationship between behavior and nutrition has been defined in children living in other settings, but evidence from slums is lacking.
Behavioural ProblemsNutritional StatusChildrenUrban Slums
An assessment of talent management and talent engagement strategies for indian industries - orientations revisited in COVID-19 crisis
New approaches and methods would redefine the global corporate and economies as the pandemic has struck the world.
Talent managementTalent retentionHealth and safetyFamilyEmployeeWork cultureWork environment
Impact of pandemic on women’s purchase decision for feminine hygiene products: a COVID-19 lockdown perspective
The uncontrolled spread of the COVID-19 pandemic has forced nations to shut their borders and impel the lockdown.
PandemicCOVID-19LockdownFeminine hygiene productsPurchase decision
An exploratory study on the work from home for the first time by school teachers during COVID-19 pandemic
The pandemic COVID-19 has brought a significant shift in the working pattern in all the sectors, and it has brought up a trend of working from home.
COVID-19PandemicWork from HomeSchoolsTeachingLearningCurriculumOnline SessionsTeachersWork-Life Balance
An automated model representing communicating states for a given moment in actual time is theorized in an Automated Supply Chain Dual (SC). When handling instability threats in SCs, we look at the circumstances surrounding the architecture and deployment of the digital twins.
Supply Chain RiskData AnalyticsSupply Chain resilienceCOVID-19Risk Management
The purpose of this study is to determine the influence of Covid-19 on the intention to purchase online fashion clothing.
Covid-19Online purchase intentionhedonic and utilitarian MotivationsSituational factorsFashion Apparel
Impact of brand and change in habits of customers due to corona virus in the home appliance industry of India
The Home Appliance industry is going through an unpredictable situation due to corona virus.
Home ApplianceBrandCorona virusConsumer HabitsEntrepreneurs
Background: Biodiversity is one of the proud domains of any country in the world. Wildlife as a whole is one of the greatest contributors to the environment worldwide in the human race.
BiodiversityAuditAudit abilityAnimal ethicsReptilesSnakesWildlifeForest departmentPoachersThreats
The objective of this paper is to determine the factors that will impact Brand Perception post-COVID-19.
COVID-19Brand PerceptionPerception ModelsStrategyhygiene products
Purpose: The COVID-19 pandemic has brought about several changes in the regular life of consumers.
COVID-19LockdownOnline grocery shoppingConsumers satisfactionBusiness model
Precision farming refers to the latest trends in agriculture that use technology to improve quality, quantity, and productivity, thereby ensuring profitability, sustainability, betterment, and preservation of the environment.
Aviation has been a sector that has heavily contributed towards easing lives, addressing transportation needs, and paving the way for new job roles.
AviationEnvironmentCoronavirusFlight suspensionClimatic changeAircraft
Covid-19 is creating a flurry of fear and stigma across the globe. The individual fear is of discrimination at isolation centers, fears of dying alone with no funeral as per rituals.
Covid-19Health sectorPreventionGDPWHOPandemicIsolation centerLiteracy rate
In this ever-changing world full of emerging technologies and business ideas, the human touch is neglected, and the sense of emotion and feelings goes dull.
Emotional intelligenceEQJob performanceHuman psychologyEmployees
Analysis and Comparison of Prediction of Heart Disease Using Novel Genetic Algorithm and XGBoost Algorithm
Prediction of coronary sickness utilizing novel genetic algorithm and contrasting its accuracy with XG boost algorithm.
Heart DiseaseNovel Genetic AlgorithmXGBoostMachine LearningCoronary sicknessAccuracySamples
Analysis and Comparison of Kidney Stone Detection using Parallel Piped Classifier and Bayesian Classifier with Improved Classification Accuracy
The goal of this research is to use parallel piped classifiers and bayesian classifiers to predict and detect kidney stones.
Kidney StoneImage ClassificationClassifierInnovative Parallel Piped ClassifierBayesian ClassifierMachine Learning
Analysis and Comparison of Kidney Stone Detection using Minimum Distance to Mean and Gaussian Maximum Likelihood Classifier with Improved Classification Accuracy
The goal of this research is to use Gaussian maximum Likelihood classifier and Minimum distance to mean Classifier to predict and detect kidney stones.
Kidney Stone Detection using Minimum distance to mean Classifier and Gaussian Maximum Likelihood ClassifierMachine learning
Analysis and Comparison of Image Enhancement Technique for Improving PSNR of Lung Images by Wiener Filtering over Histogram Equalization Technique
The aim of this study is to compare and analyze wiener filter algorithm for lung image enhancement over novel histogram equalization technique.
Image EnhancementFiltering TechniqueImage ProcessingWiener FilterPeak Signal to Noise Ratio (PSNR)Novel Histogram Equalization Technique
Detection and comparison of Proliferative Diabetic Retinopathy using Watershed Algorithm and K-Means Clustering Algorithm
The aim of this research work is for the presence of Innovative Proliferative Diabetic Retinopathy Detection, using modern algorithms, and comparing the Peak Signal to Noise Ratio (PSNR) between Watershed Algorithms and K-Means Clustering Algorithm.
Innovative Proliferative Diabetic Retinopathy DetectionMachine LearningWatershed AlgorithmK-Means Clustering Algorithm MATLAB ProgrammingPeak Signal to Noise Ratio (PSNR)
Analysis and Comparison for Innovative Prediction Technique of Breast Cancer Tumor using Decision Tree Algorithm over Support Vector Machine Algorithm with Improved Accuracy
The major goal of this research is to improve the accuracy of the Decision Tree (DT) and Support vector machine (SVM) algorithms and compare their efficiency in detecting breast cancer tumors.
Innovative Breast Cancer PredictionMachine LearningDecision TreeSupport Vector MachineAccuracySensitivity
Analysis and Comparison for Innovative Prediction Technique of COVID-19 using Decision Tree Algorithm over the Support Vector Machine Algorithm with Improved Accuracy
The primary goal of this research is to increase the accuracy of COVID-19 prediction and its analysis.
Innovative COVID-19 predictionMachine learningDecision treeSupport vector machineAccuracy
Analysis And Comparison Of Ventricular Cardiac Arrhythmia Classification Using Sodium Channel Parameters With ANN And KNN Classifier
Aim of this research is to analyze and compare ventricular Cardiac Arrhythmia (CA) classification using Sodium Channel (Na+) parameters with Artificial Neural Network (ANN) and K-Nearest Neighbour (KNN) classifiers.
Ventricular Cardiac ArrhythmiaSodium IonSodium Channel Novel ANN and KNN ClassifiersAction PotentialBradycardiaTachycardia
Analysis And Comparison Of Ventricular Cardiac Arrhythmia Classification Using Sodium Potassium Pump Channel Parameters With ANN And KNN Classifier
The intent of this research is to analyze and compare ventricular cardiac arrhythmia classification using sodium potassium pump (Na+/K+) channel parameters with Artificial Neural Network (ANN) and K-Nearest Neighbor (KNN) classifiers.
Ventricular Cardiac ArrhythmiaSodium Potassium Pumpexchangers Novel ANN and KNN ClassifiersAction PotentialBradycardiaTachycardia
Analysis and Comparison for Prediction of Diabetic among Pregnant Women using Innovative Support Vector Machine Algorithm over Random Forest Algorithm with Improved Accuracy
To achieve accuracy, sensitivity, and precision in AI (Artificial Intelligence) calculations for the prediction of diabetes among pregnant women, a Support Vector Machine and Random Forest algorithms were utilized.
Diabetes prediction Innovative Support Vector Machine AlgorithmRandom Forest AlgorithmArtificial IntelligenceAccuracy
Analysis and Comparison of Random Forest Algorithm for Prediction of Cardiovascular Disease over Support Vector Machine Algorithm with Improved Precision
To find the best algorithm for the prediction of innovative cardiovascular disease accurately, with fewer errors between Random Forest and Support Vector Machine classifiers.
Innovative Cardiovascular DiseaseMachine LearningRandom Forest AlgorithmSupport Vector Machine AlgorithmAccuracyPrecision
Analysis and Comparison of Image Enhancement Techniques for Improving PSNR of Liver Image by Median Filtering over Wiener Filtering
The purpose of this study is to use median filters and wiener filters to minimize noise in liver images in order to improve them. In addition, the output of both filters was analyzed based on their Peak Signal to Noise Ratio (PSNR).
FilteringSmoothingMedian FilterWiener FilterImage ProcessingUltrasoundLiver cancer
Comparative Analysis of Hepatitis C Using Decision Tree Classifier and Artificial Neural Network Classifier
The goal of this study is to compare the accuracy, sensitivity, and specificity of a Decision tree classifier and ANN classifier in detecting Innovative Hepatitis C Detection using modern methodologies.
Innovative Hepatitis C DetectionDecision Tree ClassifierArtificial Neural Network ClassifierMachine learningAccuracySensitivitySpecificity
An Effective Approach to Detect Liver Disorder using KNN Algorithm in Comparison with Decision Tree Algorithm to Measure Accuracy
An effective approach to detect liver disorder using KNN algorithm in comparison with decision tree algorithm to measure accuracy.
K- nearest neighbor algorithmDecision Tree algorithmLiver disorderArtificial intelligenceInnovative liver disorder detection
Comparative Studies on the Effect of Tris-Citric Acid-Fructose Egg Yolk Glycerol and Tris-Egg Yolk-Glucose based Semen Extender on various Semen Parameters for Effective Long Term Cryopreservation
To evaluate the suitable Semen extender for a long duration of cryopreservation among Tris citric acid fructose egg yolk glycerol extender and Tris-egg yolk-glucose extender.
SemenCryopreservationNovel Semen ExtenderTris-citric acid-fructose egg yolk glycerol extenderTris-egg yolk-glucose extenderAssisted Reproductive Technology
Comparative Study on Effectiveness of Organic Pineapple Juice Vinegar Over Commercially Available Vinegar Using Chemical Titration Technique for Chicken Quality Analysis
The production of innovative Pineapple vinegar necessitates the use of a low-cost raw material due to the commodity's low price.The present investigation represents the use of pineapple waste as a new substrate.
PineappleAcetobacterSaccharomyces cerevisiaeFermentationInnovative Pineapple Vinegar
Comparison of Antibacterial Activity of Ethyl Acetate Fractions Separated from Trichoderma with Commercial Antibiotic Methicillin Against Drug-Resistant Bacteria using Minimum Inhibitory Concentration Method
To compare the antibacterial activity of ethyl acetate fractions of Trichoderma viride against Drug-resistant bacteria.
Trichoderma virideInnovative Ethyl Acetate FractionsMICMRSASusceptible BacteriaAntibacterial ActivityDrug-Resistant
Efficacy on curry leaves powder consumption on blood glucose and lipid profile among type ii diabetes patients with mild elevated lipid profile - Experimental study
Diabetes is a chronic condition in that Type II diabetes (Formerly called as Non-Insulin Dependent) is the most prevalent, generally affecting adults, diabetes frequently reduces HDL (good) cholesterol levels while raising triglycerides and LDL (bad) cholesterol levels. Both of these factors raise the likelihood of heart disease and stroke.
EffectivenessCurry leaves powderBlood glucose levelLipid profile levelDiabetes mellitusPatients with Type II Diabetic mellitus with mild elevated in lipid profile level
Level of satisfaction on online teaching method among undergraduate students – a descriptive cross-sectional study
Formal education is the smooth pathway for learning, or gaining of knowledge, skills and values in a controlled atmosphere with the avowed goal of instructing students.
Online teaching methodUndergraduate students and satisfaction
A biometric is in fact a pattern recognition system that uses biological traits like fingerprints, voice recognition, facial geometry, and hand geometry in addition to different patterns like iris and retina.
BiometricRecognition MethodsAccess ControlPrivacySafety
Prognosis of the probability of development and progression of the disease under the influence of factors causing cerebral vascular disorders in vascular parkinsonism
Cerebrovascular disease, according to many studies, causes 1 to 15% of cases of Parkinsonism. "...200 out of every 100,000 people in the world have the disease...".
Parkinson's diseaseCerebrovascular diseasePreventionTreatment
Papillary thyroid cancer (PTC) is one of the generic types of thyroid cancer and most prevalent form of malignancy among all cancers of the thyroid. It is also one of the few cancers with a rapidly increasing incidence.
Papillary thyroid cancerMolecular biomarkerRET/PTCRASBRAF
Carcinoma of the prostate is the most common malignant tumour in men over the age of 65 years with peak age of incidence between 70 and 74 years.
Prostate carcinomaOoxidative stressHomocysteineFolate
To evaluate the prevalence and pattern of upper impacted third molar with the help of orthopantomograms (OPG). A total of 276 preoperative orthopantomograms were screened from the year 2020 – 2022 of the patients who reported to the Santosh Dental College and Hospital.
Maxillary impacted third molarAngulationOrthopantomograms
The most commonly impacted teeth in the oral cavity next to the mandibular molars, are the maxillary canines. Generally, impacted canines are asymptomatic in nature, which make the patients less concern about them being impacted until it is associated with any pathology.
A study on prevalence of anxiety during the pandemic and post pandemic of COVID-19 among adult population of district ghaziabad, Uttar Pradesh
COVID-19 pandemic started in India on 30th January 2020. A nationwide lockdown was enforced from 24th March 2020 and general population was confined to their homes causing many psychological problems. Objective: To find the prevalence of anxiety during the pandemic and post pandemic of COVID-19 among adult population of Ghaziabad city.
To evaluate the effectiveness of various relaxation noises on anxiety levels of children aged between 4-8 years old by analysing through heart rate, FLACC scale and Wong-Baker Faces Pain Rating Scale.
Nonaversive techniquesAudioanalgesiaWhite noiseBrown noisePink noiseDistraction
A study on role of oxidative stress and nutrients in patients with pulmonary tuberculosis in a tertiary health care hospital
The association between TB, oxidative stress and dietary supplements is multidirectional. The inflammation associated pathology in tuberculosis leads to the development of the free radical generation.
Pulmonary tuberculosisAnti oxidantsOxidative stressInflammation
One of the major concerns of the current era is Dental anxiety in Pediatric Dentistry. Kids are very well adapted to emojis or emoticons nowadays, and they represent better emotions or moods than a cartoon picture. As a result, this study was carried out to assess a recently created anxiety rating scale.
Jeet wheel scaleDental anxietyJWSAnxiety rating scaleNew anxiety rating scale
The stress control is essential in patients to elude the loss of motivation for Dental procedures .The present study was conducted to estimate salivary cortisol response to stress developed in patients undergoing Dental treatment
Anxiety Dental Treatment Salivary Cortisol Enzyme Immunoassay KitSalivary Cortisol Level
Comparative Evaluation of the Oral Hygiene Status and Prevalence of Dental Caries in Hemophiliac and non-Hemophiliac Patients
The aim of this study is to compare the oral hygiene status, caries experience, and prevalence of hemophiliac patients and non-Hemophilic controls.
HemophiliaDMFTCaries experienceOral Hygiene Index- SimplifiedWHO
Both patients and hospitals are harmed by hospital-acquired infection, sometimes known as "nosocomial infection.
The structure and functions of neuroendocrine pineal gland remains an enigma to both philosophers and scientists since time immemorial.
To study the use of sputum and broncho alveolar lavage (BAL) for CBNAAT, as an adjunct in the diagnosis of pulmonary tuberculosis, in sputum AFB smear negative patients.
Pre-operative serum albumin as a predictor of post-operative morbidity and mortality in major general surgeries
Malnutrition is a frequent concomitant of surgical illness. About 50-60% of patients admitted to General Surgery wards are malnourished on admission.
For both mothers and fetuses, gestational diabetes mellitus (GDM) causes major morbidity and mortality in the Indian population. In pregnancy, serum uric acid levels are higher. Elevated first-trimester uric acid levels can be used to predict GDM.
Gestational diabetesFirst trimesterHyperuricemiaUric acid
The long-standing style of care known as cardiac rehabilitation (CR) may have been created to lessen the significant burden of cardiovascular diseases (CVD) on people all over the world. In Post COVID era, maintenance of cardiac health in COVID affected patients has been received much attention.
Cardiac rehabilitation Cardiac mortalityCOVID 19Myocardial infarction
Sneezing is considered to be physiological defense mechanisms against nasal mucosal irritation due to allergy, infection, or local pathology, unusual triggers of sneezing include light, full stomach, sexual ideation, or orgasm.
Chest X-rays and CT Results from Tuberculosis Screening in Healthcare Workers Using Interferon - Gamma Release Assay (IGRA)
To examine the prevalence of tuberculosis (TB) in healthcare workers (HCWs) with positive chest X-ray (CXR) and computed tomography (CT) findings and to ascertain the function of imaging in the diagnosis of TB.
ThoraxX-RaysTomographyX Ray ComputedTuberculosisInterferon Gamma Release Tests
ADA levels in PF of 290 individuals were tested to investigate pleural effusion. Based on a positive pleural biopsy, each patient was assessed for age, sex, and the presence of tuberculosis (TB). The Kruskal-Wallis one-way analysis of variance was used to analyze differences in ADA levels between groups.
Pleural effusionBiological markersPleura
Studying the effect of the solvent on the spectral properties of the Eosin-y Dye that used as medical laser medium
In this work, four kinds of solvents (Acetone, ethanol, methanol, and Water) were used for studying their effect of the spectral properties of the Eosin-y dye.
Eosin-y Laser dye Florescence
Supervised study of novel random forest algorithm for prediction of heart disease in comparison with the decision tree algorithm
The aim of this work is to evaluate the accuracy and precision in predicting heart disease using Decision Tree (DT) and Novel Random forest (RF) Classification algorithms.
Novel Random forest Decision tree Heart Disease Data Mining Pulse rate Heart Rate
Prediction of heart disease using forest algorithm over linear regression algorithm using machine learning with improved accuracy
To perform Predicting heart disease using the Forest algorithm and comparing its feature extraction precision with the Linear Regression Algorithm for improving the accuracy of the prediction.
Algorithm Linear Regression Algorithm Predicting Heart Disease Machine Learning Supervised Classification Novel Dimensionality Reduction
Comparison of accuracy rate in prediction of cardiovascular disease using random forest with logistic regression
Comparison of accuracy rate in prediction of cardiovascular disease using Novel Random Forest with Logistic Regression.
Prediction of cardiovascular disease Novel Random forest Novel Logistic Regression Smoking Endocytosis Hyperglycemia
Improved accuracy in heart disease prediction using novel random forest algorithm in comparison with support vector machine algorithm
The primary aim of this paper is to improve the exactness of the classification of coronary illness predictions using the help of machine learning algorithms.
Artificial Intelligence Novel Random Forest Support Vector Machine Coronary Disease Prediction Classification
Comparative analysis of anti-fungal properties of carbohydrates derivatives over commercial antifungal drugs
The goal is to compare the anti-fungal characteristics of carbohydrates derivatives to commercial antibiotics, and docking will be used to see how the ligand, protein, and anti-fungal interact molecularly.
3HQR PDB SPSS Gluconolactone Benzimidazoles
Heart plaque detection with improved accuracy using K-nearest neighbors classifier algorithm in comparison with least squares support vector machine
The objective of the work is to evaluate the performance of the k-Nearest Neighbor classifier in detecting heart plaque with high accuracy and comparing it with the Least Squares Support Vector Machine.
Heart Plaque disease Novel grayscale texture feature K-Nearest Neighbor algorithm Least Squares Support Vector Machine Prediction Machine learning
Comparative analysis of antibiofilm properties of carbohydrate derivatives over commercial antibiotics
The goal is to compare the antibiofilm characteristics of carbohydrate derivatives to commercial antibiotics, and docking will be used to see how the ligand, protein, and antibiotic interact molecularly.
PubChem PDB Gluconolactone bap-c1 Staphylococcus aureus Biofilm
Identification of acral melanoma using fuzzy algorithm compared with convolutional neural network for improved accuracy using dermoscopic images
Acral melanoma detection using a fuzzy method vs. convolutional neural network CNN utilizing dermoscopic pictures.
Acral Melanoma Convolutional Neural Network Innovative detection Technique Machine Learning Fuzzy Algorithm
Comparative study of molecular interactions of thymol and imatinib with bcr-abl fusion protein in-silico for the selective anti-CML activity of thymol
To study the comparative molecular interactions of Thymol and Imatinib with the active sites of Breakpoint Cluster Region (BCR)-Abelson (ABL) fusion protein using molecular docking analysis for the selective anti-Chronic myeloid leukemia (CML) activity.
BCR-ABL protein Thymol Imatinib Novel Anti-CML agent Molecular docking Autodock Vina Software
Comparative study of molecular interaction of quercetin and B4S with kinensin-5 protein in-silico for the selective anti-cancer activity of quercetin
To study the comparative molecular interactions of Quercetin and 3'-fluoro-4'-(trifluoromethyl)biphenyl-4-sulfonamide (B4S) with the active sites of Kinesin-5 protein using molecular docking analysis for the selective anticancer activity.
Quercetin Kinensin-5 B4S Molecular Docking Novel Anti-cancer agent Autodock Vina Software
Molecular modeling and screening of antiviral peptides for Influenza A virus polymerase basic protein 2(PB2) protein using Hpepdock software for the therapy of Influenza A
To determine the binding affinity (kcal/mol) for various antiviral peptides to target Influenza A virus PB2 protein using Hpepdock software and comparison with the Macrocyclic iHA-100 peptide (Reference peptide).
Antiviral peptides Influenza A virus Novel Peptide Molecular docking PB2 protein Hpepdock PEPstrMOD
To improve the accuracy in Heart Disease Prediction using Novel Logistic Regression and Decision tree Materials and Methods: This study contains 2 groups i.e Novel Logistic Regression and Decision tree Each group consists of a sample size of 10 and the study parameters include alpha value 0.01, beta value 0.2, and the Gpower value 0.8. Results: The Novel Logistic Regression (91.60) achieved improved accuracy than the Decision Tree (89.42) in Heart Disease Prediction.
Novel Logistic Regression Decision Tree Heart disease prediction Accuracy Machine Learning
Environmental and human exposure relevant dose analysis of triclosan on larval zebrafish heart rate using microscopic observation for risk assessment applications
The current study's goal is to determine the impact of triclosan (TCS) concentrations in the environment and from human exposure on zebrafish larvae heart rate.
Triclosan Zebrafish Innovative Heart Rate Analysis Exposure Relevant Dose Larvae Embryo
Smart edge detection technique in X-ray images for improving PSNR using prewitt edge detection algorithm with gaussian filter in comparison with laplacian algorithm
This study aims to propose smart edge detection techniques in x-ray images for improving PSNR using the Prewitt edge detection algorithm and comparing it with the laplacian algorithm.
Edge Detection Prewitt Gaussian Laplacian PSNR Image Processing Innovative Edge Detection method
An analysis of chronic kidney disease using novel decision tree algorithm by comparing logistic regression for obtaining better accuracy
Currently kidney disease is a major problem. Because there are so many people with this disease.
Chronic Kidney Disease Novel Decision Tree algorithm Logistic Regression Machine learning Classification Diabetes
Classification and prediction of chronic kidney disease using novel decision tree algorithm by comparing random forest for obtaining better accuracy
Chronic Kidney Disease (CKD), also referred to as long-term nephrotic syndrome, has risen exponentially in importance. A person may only remain missing their kidneys for an estimate of 18 days, which creates a huge need for hemodialysis and kidney replacements.
Chronic Kidney Disease Novel Decision Tree algorithm Random Forest Machine learning Accuracy Prediction
Cardiocode Creators: Research & Development Team
Problematic aspects of polypragmasia in the development of multimorbidity in elderly and senile patients
It is known that is an ambiguous phenomenon in medicine. There is no generally accepted definition of the concept, and approaches to the interpretation of the essence of the category in question are also different, since polypragmasia, being vital for certain diseases, can become extremely dangerous in certain conditions of the human body, as well as negatively affect the health of patients of certain age groups.
PolypragmasiaComorbidityConsequencesElderly and senile ageMedicationsProblematic aspects
Biosynthesis of zinc oxide nanoparticles using saccharomyces boulardii and study their biological activities
Objective: Saccharomyces boulardii, a probiotic, is used in the current study's manufacture of zinc oxide nanoparticles with the aim of assessing their biological activity.
Biosynthesis ZnO NPsSaccharomyces boulardiiAntibiofilmAntimicrobialAntioxidant Activity
Method of visualization of the cardiovascular system during the study of patients with perioperative myocardial injury
The relevance of the research work lies in the fact that a significant number of surgical patients are at risk of intra- or postoperative complications, or both, which is associated with prolonged stay in the hospital, costs and mortality.
Cardiovascular systemSurgeryPerioperative periodPatientsMyocardial injury
Schizophrenia is a severe type of mental illness that is both persistent and burdensome. Because they are under a lot of stress coping with caring for schizophrenia patients, family members of these patients often have a negative attitude and a wide spectrum of expressed emotion towards them.
Expressed emotionInteraction patternFamilyBehaviorSchizophrenia
A pilot study - the impact of health education on knowledge of blood pressure control - ischaemic heart disease patients
Increased Blood Pressure is one of the main causes for ischemic heart disease, and effective management of Hypertension as a key to preventing both primary and secondary Ischemic heart disease.
Ischemic heart disease (IHD)HypertensionHealth InformationKnowledgeBlood pressureSample
Effectiveness of Nursing Care on Patients with Osteoarthritis .Osteoarthritis (OA) is a condition that results in joint inflammation. It’s caused by the wear and tear of cartilage, the tissue protecting the ends of your bones and joints.
Intradialytic range of motion exercise to enhance renal index among chronic renal failure patients receiving heamodialysis at Sree Balaji medical and hospital, Cchennai - pilot study report
True experimental research study was conducted at Haemodialysis’ Unit at Sree Balaji Medical College and Hospital among End stage Kidney disorder patients receiving haemodialysis to determine the efficiency of ROM exercise on selected Renal parameters by using purposive sampling technique 12 patients for control group and 12 from experimental were selected for the study based on inclusion criteria.
Malignancy is one of the dangerous sicknesses across numerous nations. In any case, malignant growth can be restored, whenever recognized at a beginning phase. Analysts are dealing with medical care for early identification and avoidance of malignant growth.
Disease Prediction SystemIoTMachine LearningSupervised LearningLung DiseaseGraph Theory
Depending on technology is a surprisingly easy task for a person since the course of parameter change can be calculated intuitively by the consistency of the solution. However, manual parameter modification in many situations is varied.
Medical ImageBoltzmann Classification MethodsTexture Recognition AlgorithmLung CT images
As a result of these promising results, researchers believe that gene expression tests are more important in creating more accurate and efficient diagnostic and classification tools for cancer.
Gene DataData MiningRNADNAClassificationGenetic Algorithm
Nurse implemented algorithm for nutritional support (NIANS) on nutritional status among patient with enteral feeding in critical care unit
Nutritional support is a fundamental component of holistic patient care in the intensive care unit (ICU) and therefore warrants diligent consideration. Critically ill patients are at a higher risk for developing malnutrition due to nature of their illness and their hyper-metabolic state.
Nutritional statusNIANSEnteral FeedingCritical Care Unit
Level of stress and perceived social support among women seeking infertility treatment: an exploratory study
Infertility is frequently a secret battle, and depressive symptoms are more common in infertility patients than in cancer patients. Around 60–80 million couples worldwide have infertility, which has a wide range of effects on many different dimensions.
DepressionStressPerceived Social SupportInfertility & Women
Assess the association between sleep quality and glycemic control among patients with diabetes mellitus
Diabetes Mellitus is one of the most serious health problem that arise from poor sleep quality. Objectives of the study wereto assess the level of sleep quality and glycemic control among patients with diabetes mellitus.
Sleep qualityGlycemic controlDiabetes mellitus
The current study aims to estimate the levels of β HCG among antenatal mothers during second trimester to alert hypertensive disorders during pregnancy.
Antenatal MothersHypertensive DisordersSerum β-HCG levels
The study to assess the relationship between handgrip strength upper limb, anthropometric characteristic and hand disability in adult with type 2 diabetes melllitus
Aim: the present study aims to assess the relationship between handgrip strength upper limb, anthropometric characteristic and hand disability in adult with type 2 Diabetes Mellitus at SMCH.
Hand gripHand disabilityType 2 diabetes
Knowledge and attitude regarding HPV vaccination among late adolescent girls studying in selected colleges
Human Papillomavirus (HPV) is the most common sexually transmitted infection in both sexes. In Spite of the vaccines which are highly immunogenic, safe, well tolerated and highly effective in preventing HPV infection the interest shown to receive the vaccine is least.
In the medical field, Wireless Body Area Networks (WBAN) play the main role in keeping users healthy by offering convenient services for doctors and patients. However, the attacker is prevented from tampering with the sensor data by communicating through an unsecured channel, which prevents the forwarded packets from their hazardous origins.
Body Area NetworkOnetime passwordHash-based signatureTrustable nodesSimulation result
Digitization and pop culture has come a long way. Making and taking experiences online has given new spectrums for fans to participate and integrate.
Consumer behaviorK-popFansIndiaContentOnlineMusic industryPop cultureCultural hybridity
Pesticide contamination and influence of various processing factors on pesticide residues in tea – an integrative approach
Thesecond most commonly consumed beverage in the worldis tea. Various forms of tea are destroyed and reported to show tremendous potential use in human health after consumption.
PesticidesTeaContaminationResiduesProcessing factorsIntegrative approach
Most of the criminal justice systems worldwide adopt the reformative tools and techniques with the prime object to introduce reformation in convicts instead of using age-old coercive techniques.
Vaccines have been demonstrated to reduce the incidence of disease. With global and regional guidance, the World Health Organization provides information and assistance to immunization programs worldwide.
VaccinationImmunizationVaccination RemindersChildhood ImmunizationText MessagesSMSPhone Calls
Study of menstrual hygiene practices among the women of reproductive age group in Sangrur Village, Pune-Maharashtra
Menstrual hygiene is a concept of deep concern as; unhygienic practices can lead to health problems like reproductive tract infections and their complications.
Menstrual hygieneReproductive age groupSanitary napkinsMenstrual educationWomen
Exploring the association of job satisfaction with organizational stressors, demographic factors, and mental health: the indian IT/ITeS narrative
A little more than 50 million Indians are reported to have the ill effects of depression, and another 38 million, reported anxiety. Despite this, it is crippling to see that India's emotional well-being is hardly examined.
Mental healthJob satisfactionStressDepressionEmployee Assistance
Forecast COVID-19 cases and fatalities to help understand what drives transmission rate in Tamil Nadu – India
A newly emerged human Covid-19 virus from Wuhan, China caused by SARS-Cov2 having 96.1% similar genomic sequence as that of a bat has resulted in global pandemic and adversely affected the healthcare sector in terms of management, manpower, planning.
Digital transformation is characterized by gathering individuals, data, and processes to generate value for online customers and stay competitive in the new consumer marketplace.
Digital TransformationRetailConsumersClientsUse Cases
Management students perspective and preferences towards flexible learning during COVID-19 pandemic in India
The World Health Organization (WHO) declared coronavirus (COVID-19) as a global health emergency in January, which has impacted different sectors worldwide.
COVID-19Flexible learningVirtual learningEducationManagement studentsCoronavirus
COVID-19 has created a misbalance in the global economy by affecting multiple sectors.
COVID-19 crisis has changed the way we work. Work-from-home, which was a possibility in some sectors, has become a compulsion for all, which has affected the work-life balance of working professionals.
Work-Life BalanceWork-Life Balance PoliciesCOVID-19Workplace stressOrganization
Movie Theaters in India face a big crisis amid COVID-19, which leads to the shutdown of Theaters for more than five months. In the meantime, Online Streaming Services are expanding their business and revenue like never before.
Movie TheaterCovid 19Online Streaming ServicesCoronavirusNetflixOTTNew NormalOnline SurveyBox Office
In today’s highly competitive market when it comes to having a competitive advantage over others, providing superior service quality to the customers is the most important criteria for any industry.
Customer perceptionSERVPERFService qualityHotel industryDecision making
To find the impact of COVID-19 on the sports industry and how the industry will adapt to the changes.
CovidPandemicIPLAdministrative and businessGlobal economy
Ambala, a small settlement located near the town of Ramtek, is known for its landscape.
Ancient StructuresHistoric LandscapeIntangibleRitualsTangibleTypology
Objective: Customer thinks many times before the purchase of service or product. Many people prefer different sources to identify its legality, such as YouTube, friends, and relatives influencing their purchase decision
YouTubeMillennialsChannelInfluencing factorsBuying behavior
In the long and medium term, the evolution of pandemics and the resulting harm to the global economy have been alarming. Pandemics have a variety of detrimental effects on the economy.
Analysis and Comparison of Prediction of Heart Disease Using Novel Support Vector Machine and Logistic Regression Algorithm
Prediction of coronary disease using novel support vector machine and comparing its accuracy with logistic regression algorithm.
Novel support vector machineMachine LearningLogistic RegressionCoronary diseaseAccuracyPredictionSamples
Analysis and Comparison of Kidney Stone Detection using Gaussian Maximum Likelihood Classifier and Bayesian Classifier with Improved Accuracy
The aim of this study is to figure out how to predict and detect kidney stones using Gaussian maximum likelihood classifier and Bayesian classifier and also to compare the results of classification accuracy between Gaussian maximum Likelihood classifier and Bayesian classifier.
Kidney StoneImage ClassificationClassifierInnovative Gaussian Maximum Likelihood ClassifierBayesian ClassifierMachine Learning
Analysis and Comparison of Image Enhancement Technique for Improving PSNR of Lung Images by Median Filtering over Histogram Equalization Technique
The main goal of this project is image enhancement to improve interpretability or perception of information in images for human viewers and also to provide better input for other automated image processing techniques.
Image EnhancementFiltering TechniqueMedian FilterPeak Signal to Noise Ratio (PSNR)Novel Histogram Equalization TechniqueImage Processing
Analysis and Comparison of Image Enhancement Technique for Improving PSNR of Lung Images by Linear Contrast Enhancement Technique over Histogram Equalization Technique
The aim of this study is to compare and analyze linear contrast enhancement algorithm for lung image enhancement over novel histogram equalization technique.
Image EnhancementFiltering TechniqueLinear Contrast EnhancementPeak Signal to Noise Ratio (PSNR)Novel Histogram Equalization TechniqueImage Processing
The aim of this research work is for the Innovative Diabetic Glaucoma Detection using modern algorithms and comparing the peak signal to noise ratio (PSNR) between K-means Algorithm and Thresholding Algorithm.
Innovative Diabetic Glaucoma DetectionMachine LearningK-Means AlgorithmThresholding AlgorithmMATLAB ProgrammingPeak Signal to Noise Ratio (PSNR)
Analysis and Comparison for Innovative Prediction Technique of Breast Cancer Tumor using k Nearest Neighbor Algorithm over Support Vector Machine Algorithm with Improved Accuracy
The main objective of this study is to compare the efficiency of the k-Nearest Neighbor (KNN) and Support vector machine (SVM) algorithms in detecting breast cancer tumors and to examine their improved accuracy, sensitivity, and precision.
Innovative Breast cancer predictionMachine learning algorithmsk-Nearest NeighborSupport vector machineAccuracySensitivity
Analysis and Comparison for Innovative Prediction of COVID-19 using Logistic Regression Algorithm over the Decision Tree Algorithm with Improved Accuracy
The major goal of this research is to increase the accuracy of innovation prediction and examine the COVID-19.
Innovative COVID-19 predictionMachine learningDecision treeLogistic regressionAccuracy
Analysis And Comparison Of Ventricular Cardiac Arrhythmia Classification Using Calcium Channel Parameters With KNN And ANN Classifier
Aim of this research is to analyze and compare ventricular cardiac arrhythmia classification using calcium channel parameters with Artificial Neural Network (ANN) and K- Nearest Neighbour(KNN) classifier.
Ventricular Cardiac ArrhythmiaCalcium IonCalcium ChannelNovel ANN and KNN ClassifiersAction Potential
Analysis and comparison for prediction of Diabetic Pregnant women using Innovative Principal Component Analysis algorithm over Support Vector Machine Algorithm with Improved Accuracy
The study’s aim is to analyze and compare the accuracy, sensitivity, and precision of diabetic prediction among pregnant women using the innovative Principal Component Analysis algorithm and Support Vector Analysis.
Diabetes predictionInnovative Principal Component Analysis algorithmSupport Vector Machine algorithmArtificial IntelligenceAccuracy
Analysis and comparison of Naive Bayes algorithm for prediction of cardiovascular disease over support vector machine algorithm with improved precision
To find the best algorithm for the prediction of Novel Cardiovascular Disease Detection accurately, with fewer errors between Novel Naive Bayes and Support Vector Machine classifiers.
Cardiovascular Disease Detectionmachine learningNaive Bayes algorithmSupport Vector Machine algorithmAccuracyPrecision
Analysis and Comparison of Image Enhancement Techniques for Improving PSNR of Liver Images by Linear Contrast Algorithm over Median Filtering
The goal of this research is to reduce noise present in the liver images in order to enhance it using linear contrast and median filters. And also to analyze output of both the filters based on its Peak Signal to Noise Ratio (PSNR).
Image ProcessingImage EnhancementFiltering TechniquesLiver ImagesLinear Contrast FilterMedian Filter
Analysis and comparison of image enhancement techniques for improving PSNR of liver image by mask filtering over Wiener filtering
The major purpose of this project is to improve picture enhancement for human viewers in order to improve interpretability or perception of information in images, as well as to give better input for other automated image processing approaches.
FilteringSmoothingMask FilterWiener FilterImage enhancementBiomedical imagingWavelet transformPeak signal to noise ratioSpeckle noise
An Efficient Approach to Detect Liver Disorder Using Customised SVM in Comparison with Random Forest Algorithm to Measure Accuracy
This work provides an effective approach to detect liver disorder using customised SVM algorithm in comparison with random forest algorithm to measure accuracy.
Liver disorderCustomised SVMRandom forest algorithmMachine learningInnovative liver disorder detectionAccuracy
An Efficient Approach to Detect Liver Disorder Using Naive Bayes in Comparison with Decision Tree Algorithm to Measure Accuracy
To process an effective approach to detect liver disorder using Naive Bayes algorithm in comparison with Decision tree algorithm to measure accuracy.
Naive bayesDecision treeInnovative liver disorder detectionLiver disorderMachine learningArtificial intelligence
Comparative Study on Effectiveness of Organic Grape Juice Vinegar Over Commercially Available Vinegar Using Chemical Titration Technique for Chicken Quality Analysis
In developing nations there is a huge loss in post-harvest process and making vinegar from extra fruit, which may be used to preserve some foods and snacks, is a useful technique for reducing these losses.
Grape FruitAcetobacter Saccharomyces cerevisiaeFermenterInnovative grape vinegar
Comparative Study on Effectiveness of Organic Apple Juice Vinegar Over Commercially Available Vinegar Using Chemical Titration Technique for Chicken Quality Analysis
The purpose of this research is to develop a new apple vinegar based on Podophyllum peltatum and analyze the fermentation process using a new methodology.
AppleAcetobacterSaccharomyces cerevisiaeFermentationInnovative Apple Vinegar
Autism spectrum disorder (ASD) is a behavioural condition that affects the child’s social interaction, communication, and behaviour. The early identification of ASD is critical for the effective and timely therapies.
Autism spectrum disorderComputer aided diagnosisMachine learningImage based diagnosisPrediction system
Accurate prediction of coronary artery disease across various age groups using machine learning algorithms
The healthcare sector is generally "information rich". It is required to mine all the information for finding hidden patterns and making wise diagnostic decisions.
Data miningHeart failureAdaboostJ48 Decision TreeBagging and Accuracy
To assess the role of hdl to triglycerides ratio vs ldl to triglycerides ratio as an indicator in coronary artery disease
Coronary artery disease is the buildup of plaque in the arteries that supply oxygen-rich blood to your heart. Plaque causes a narrowing or blockage that could result in a heart attack. Symptoms include chest pain or discomfort and shortness of breath.
CORONARY ARTERY DISEASETRIGLYCERIDESLDLHDL
A vital element of widespread patient monitoring is consistency in transmission between the patients and the healthcare professionals not including time and position dependencies.
Glowworm Swarm OptimizationClusteringCluster head selectionArtificial neural networksMobile ad hoc network
Serosurveillance of covid antibodies with reference to clinical status of healthcare workers of a level 3 hospital facility in Ghaziabad
Healthcare workers (HCWs) stand at the forefront for treating the patients of coronavirus disease 2019 (COVID-19). This puts them at higher risk of acquiring the infection than any other individuals in the community.
The prolonged increase of blood glucose give rise to complications of diabetes- premature atherosclerosis (including cardiovascular diseases and stroke), retinopathy, nephropathy and neuropathy.
Diabetes mellitusDiabetic nephropathyMicroalbuminuriaApolipoprotein
Obesity and overweight has become a public health concern. Excess weight in the body is linked to various conditions like Hypertension, diabetes, osteoporosis, and stroke which contributes to morbidity and mortality.
Association between distal decay in second molar and impacted mandibular third molars: a retrospective study
Lower third molars are the most common impacted teeth encountered in clinical practice. There are various pathologies associated with the impacted tooth such as root resorption, distal caries of the adjacent tooth, cyst formation, periapical radiolucency and osteitis.
ImpactionLower third molarDistal caries
Pseudoaneurysm of the lingual artery is very rarely seen, and it can arise due to various reasons such as trauma, inflammation or even neoplasm. Idiopathic pseudoaneurysm along with being very rare can also be life threatening if they are not diagnosed or treated on time. Our case report describes the idiopathic pseudo aneurysm of sublingual artery which was treated by surgical excision.
Genetic relatedness and antifungal susceptibility pattern of Candida spp. recovered from the oral cancer patients
Oral candidiasis is the most common opportunistic infection of the oral cancer patients. Identification of Candida isolates and its susceptibility to antifungal agents will be helpful in the therapeutic management.
OropharyngealCandidiasisGenomic mini AX YEAST isolation kitDNAPCR
Dental Treatment for an anxious child has always been a challenge to the pediatric dentist. Nitrous oxide has been documented as a safe and effective pharmacological mean of behaviour management which results in anxiolytic and analgesic effects along with slight amnesic effect.
Anxious childNitrous oxideAmnesiaTitration
To study the antidiabetic effect of Withania Somnifera root powder (WSR) in Streptozotocin induced diabetic rats.
Durability and stability of coaxial wire and 3D-printed lingual bonded retainer: a finite element study
To evaluate the durability and stability of Coaxial & 3D (Three-dimensional) -printed bonded lingual mandibular retainer wire (3-3) at the middle third position with the application of forces. The objective is to evaluate the displacement of teeth, stiffness, and stresses on the wire.
RetentionBonded lingual retainerCoaxial wire3D-printed wireDurabilityStability
Fracture Strength of Thin Monolithic Zirconia Crowns with Varying Thickness and Configuration of Finish Lines- An In Vitro Study
The current study sought to assess the fracture strength of thin monolithic zirconia crowns of varying thickness and finish line configuration.
Monolithic Zirconia CrownsFracture StrengthVarying ThicknessFinish LineMinimal Tooth Preparation
Transcranial electrical nerve stimulation (TENS) is being used to relieve pain in various specialties for ages but till date, no concurrent evidence is achieved on the efficacy of this method to relieve pain, still it is used as a non-pharmacological method of pain relief.
Drug safety among Hypertensive patients treated with antihypertensive drugs in Tertiary care Teaching Hospitals
Hypertension is one of the essential health problems Worldwide. According to JNC I to VIII guidelines treatment of hypertension with various type of antihypertensive drugs either mono therapy or combination therapy is updated time to time.
Coronaviruses has been spreading across the planet for more than two years now. Emerging new competent variants makes the surge never ending. With over thirty crore cases as on first week of January 2022 this virus has caused serious havoc to humanity.
COVID VariantMutationStrainsPreventive protocols
Ganglion cysts are benign soft tissue formations arising from the joint capsule or tendon sheath containing mucinous ﬂuid
Ganglion cystKnee jointFNACCystic lesion
The department of transfusion medicine, also known as blood bank, is one of the most important parts of a healthcare facility.
To analyze the electrical activity of Flexor digitorum superficialis and extensor digitorum communis for cylindrical grip sizes of 30 mm and 40 mm in stroke patients.
MCA affected stroke subjectscylindrical gripEMG activityFlexor digitorum superficialisExtensor digitorum communis
A 19-year-old female came with complaints of multiple lumps in her right breast of different sizes, which she had noticed one month back
Granulomatous mastitisFine Needle aspiration CytologyBreastGranuloma
Delusional parasitosis is an infrequent psychotic illness characterized by an unshaken belief of having been infested by a parasite when one is not.
Hepcidin prevents ferroportin-mediated iron efflux, which results in intracellular macrophage iron retention and may encourage Mycobacterium tuberculosis nutrient absorption and TB pathogenesis.
Review on sodium calcium exchanger (Na+-Ca2+X) electrophysiological characteristics and its role in cardiac arrhythmias
Cardiac arrhythmias is one of the cardiovascular diseases that cause more death in today's industrial world. Among the generation of arrhythmias in cardiac myocytes, Early Afterdepolarization (EAD) and Delayed Afterdepolarization (DAD) is most significant one.
Cardiac arrhythmiasSodium -Calcium ExchangerEarly AfterdepolarizationDelayed AfterdepolarizationL-type Ca2+ channelRyanodine ReceptorCalcium Induced Calcium Release
Improving the efficiency of heart disease prediction using novel random forest classifier over support vector machine algorithm
The Aim of the research study is to see how accurate Novel Random Forest (RF) and Support Vector Machine (SVM) classification algorithms were in predicting heart disease.
Machine Learning Novel Random Forest Support Vector Machine Classification Heart Disease Prediction Data Mining
Comparing the efficiency of heart disease prediction using novel random forest, logistic regression and decision tree and SVM algorithms
The aim of the work is to evaluate the accuracy and precision in predicting heart disease using Support Vector Machine (SVM) , Random forest (RF), Logistic Regression (LR), Decision Tree (DT) Classification algorithms.
Logistic RegressionDecision Tree Random Forest Support Vector Machine Heart Disease Prediction Data Mining
Prediction of heart disease using decision tree over logistic regression using machine learning with improved accuracy
Predicting heart disease using the Decision Tree and comparing its feature extraction precision with the Logistic Regression algorithm for improving the accuracy of the prediction.
Decision Tree Logistic Regression Principal Component Analysis Machine Learning Supervised Classification Novel Dimensionality Reduction
Estimation of accuracy rate in predicting cardiovascular disease using Gaussian Naive Bayes algorithm with logistic regression
Comparison of accuracy rate in prediction of cardiovascular disease using Naive Bayes with Logistic Regression.
Novel naive bayes Novel logistic regression Machine learning Healthcare Blood Coronary Vasculitis
Prediction analysis of novel random forest algorithm and k nearest neighbor algorithm in heart disease prediction with an improved accuracy rate
Coronary illness is one of the main sources of mortality in this current world. A basic test in the field of clinical information assessment is the expectation of cardiovascular infection.
Machine Learning Novel Random Forest K Nearest Neighbor Coronary Disease Prediction Classification
Comparative analysis of antiviral properties of carbohydrates derivatives over commercial antiviral drugs
The study is about to compare the antiviral properties of gluconolactone derivatives to those of commercial antiviral drugs, using docking to see how the ligand, protein, and antiviral drugs interact molecularly.
PDB SPSS Gluconolactone Phosphonoformate Ribavirin
Heart plaque detection with improved accuracy using Naive Bayes and comparing with least squares support vector machine
The main aim of this research is to detect heart plaque using the Naive Bayes algorithm with improved accuracy and comparing it with Least Squares Support Vector Machine.
Heart Plaque disease Novel intensity feature Naive Bayes algorithm Least Squares Support Vector Machine Prediction Machine learning
Comparative analysis of antibacterial properties of carbohydrate derivatives over commercial antibiotics
The study is about to compare the antibiofilm properties of Novel Fluorescein derivatives to those of commercial antibiotics, using docking to see how the ligand, protein, and antibiotic interact molecularly.
Cephalexin Cephalexin monohydrate Novel Fluorescein PDB Biofilm Protein-B domain Autodock
Simulation of copper nanowire by comparing its volume and alignment range using composite filament simulation 3D to predict the resistivity of the nanowire
In this research work the simulation of electrical resistivity of copper nanowire by using a Novel Composite Filament Simulation Tool, and comparing the resistivity by its Volume and Alignment range.
Nanowire Copper nanowire Volume Alignment range Electrical properties Electrical resistivity Novel Composite Filament Simulation Tool
Comparative study of molecular interactions of thymol and B4S with kinesin-5 in-silico for the selective anti-cancer activity of thymol
To study the comparative molecular interactions of Thymol and 3'-fluoro-4'-(trifluoromethyl)biphenyl-4-sulfonamide (B4S) with the active sites of Kinesin-5 protein using molecular docking analysis for the selective anti-cancer activity.
Thymol B4S Kinesin-5 Molecular docking Novel Anti-cancer agent Autodock Vina Software
Comparative analysis of antibacterial properties of fluorescein derivatives over commercial antibiotics
The study is about to compare the antibacterial properties of Novel Fluorescein derivatives to those of commercial antibiotics, using docking to see how the ligand, protein, and antibiotic interact molecularly.
Clindamycin Dicloxacillin Novel Fluorescein Clumping factor A Staphylococcus aureus PDB Autodock
Molecular modeling and screening of antiviral peptides for HIV-Glycoprotein (gp41) using Hpepdock software for the therapy of AIDS (Acquired ImmunoDeficiency Syndrome)
To determine the binding affinity (Kcal/mol) for various antiviral peptides to target AIDS (Acquired Immunodeficiency Syndrome) gp41 protein.
Novel Antiviral peptides AIDS (Acquired ImmunoDeficiency Syndrome) Molecular Docking Gp41 protein Hpepdock PEPstrMOD
Heart disease prediction based on age detection using novel logistic regression over k-nearest neighbor
To improve the accuracy in Heart Disease Prediction using Novel Logistic Regression and K-NN Algorithm.
Logistic Regression Novel K-Nearest Neighbor Heart disease Artificial Intelligence Computer Vision
Smart edge detection technique in X ray images for improving PSNR using canny edge detection algorithm with gaussian filter in comparison with laplacian algorithm
The aim of this study is to propose smart edge detection techniques in x-ray images for improving PSNR using canny edge detection algorithm and compared with laplacian algorithm.
Edge detection Canny Edge Detection laplacian Algorithm PSNR Image processing Innovative edge detection
Study on the flexural strength of polypropylene fiber reinforced M20 grade self-compacting bacterial concrete
This study's objective is to determine how polypropylene fibre impacts self-healing concrete's flexural strength.
Flexural Strength Reinforced Polypropylene fiber M20 Grade Self-healing Concrete Bacillus subtilis Superplasticizer Tec-Mix 550 Novel technique Microbial Induced Calcite Precipitation
Prediction analysis of chronic kidney disease using novel decision tree algorithm by comparing Naive Bayes for obtaining better accuracy
Individuals at high-hazard of cardiovascular sickness are no doubt defenseless against ongoing kidney diseases, and historical clinical records can assist with turning away complicated kidney issues.
Chronic Kidney Disease Novel Decision Tree Naive Bayes Machine learning Classification Diabetes
Study on the tensile strength of plastic fiber reinforced M20 grade self-compacting bacterial concrete using a novel microbial technique microbial induced calcite precipitation
The objective of this study is to quantify the influence of plastic fiber on the tensile strength of self-compacting concrete using a novel microbial technique Microbial induced calcite precipitation.
Tensile strength plastic fiber self-compacting bacterial concrete M20 grade concretesuperplasticizer(Tecmix 550) Mineral Precipitation Novel MICP technique
The article discusses the features of the diagnosis of coronary blood flow using the cardiometric method. Diagnosis of coronary blood flow is of great importance in cardiology.
CardiometryCoronaryBlood flowLactateStress indexAdaptation reaction
The relevance of this research work lies in the fact that at present the EU policy standards are aimed at creating an ecosystem of digital (electronic) healthcare (eHealth). Digital medicine resources can radically transform healthcare, providing effective medical care, and improving diagnostics/treatment/rehabilitation methods.
eHealthArtificial IntelligenceTelemedicineElectronic Health Record
Evaluation of left ventricular function after revascularization of coronary chronic total occlusion using speckle tracking echocardiography
This study evaluated the role of two-dimensional speckle tracking echocardiography (2D-STE) in evaluation of the LV systolic function in patients had CTO of LAD at 1 day as well as at 3 months after revascularization
Chronic Total Occlusions Percutaneous Coronary InterventionSpeckle tracking echocardiographyLeft Ventricular ejection fraction
The urgency of the problem. The prevalence of background diseases of the cervix (CC) today has the character of an epidemic.
Innovative technologiesTreatment of cervical neoplasia intraepithelialis
A study of assess the knowledge regarding self care management of diabetic mellitus among the diabetic patients at selected urban area
Elevated level of blood glucose hyper glycemia leads to spillage of glucose in t urine, hence that terms sweet urine. Minority populations are disproportionately affected by diabetes.
Alcoholism affects both adults and children, and it is a major medical issue. A high predominance of ailment, insufficiencies, and fatalities has been associated to alcoholism.
AlcoholismImpairmentsEarly detection and primary prevention
Effectiveness of holistic approach to reduce anxiety among obsessive compulsive disorder-pilot analysis
Anxiety disorders, obsessive-compulsive disorder and have lifetime prevalence rates of 22.8%, 1.7 percent, and 7.9%, respectively and are linked to a lower quality of life.
A pilot analysis on Effectiveness of health education on Attitude regarding management of hypertension among hypertensive patient
Hypertension is when blood pressure is too high. Blood pressure is written as two numbers. The first (systolic) number represents the pressure in blood vessels when the heart contracts or beats.
HypertensionHealth educationAttitudeRisk factorsEffectiveness
The practicality of distinct vehicular communication tissue classifiers is based on lighting training records that replicate a place or purchase circumstance. The use of transfer learning technologies to address sampling mistakes caused by sparse annotations during supervised learning on automated tumour segmentation is recommended.
Sampling ErrorsMulti-modal classification methodssparse AlgorithmBrain CT images
A wireless body area network (WBAN) collects several tiny sensor nodes in the human body. They are intended to observe data constantly forward and perform as critical structures for remote healthcare monitoring and healing.
Quality of ServiceBody Area networkslink strengthEnergyFuzzy logic system
Normally atmospheric air contains mixture of gases like nitrogen (78%), oxygen (21%), and small amount of lot of other gases like carbon-di-oxide (0.03%), hydrogen. Oxygen concentrator is a device that concentrate (or) separate oxygen from ambient air by specifically removing nitrogen by process of Pressure Swing Adsorption (PSA).
Atmospheric airMixture of gases Oxygen concentratorSeparating oxygen Pressure Swing AdsorptionZeolite
Effectiveness of oxytocin massage on promoting lactation among postpartum mothers at Saveetha medical college and hospital, Thandalam, Chennai
Inadequacy of breast milk after delivery can be caused by the ineffective breast milk production and ejection. One way that can be done is oxytocin massage to promote breast milk secretion.
Breast Milk Lactation Oxytocin MassagePostpartum Mothers
The present study aims to assess the uric acid levels in first trimester to predict the gestational diabetic mellitus.
Gestational diabetes mellitusOral glucose tolerance testSerum uric acid
Effectiveness of reverse presure softening technique on level of breast engorgement among postpartum mothers at saveetha medical college and hospital, Thandalam, Chennai
Postpartum period is the time that starts right after birth and extends for about six weeks. Breast engorgement is a problem for many lactating women that must be addressed in the client care.
Breast engorgementReverse pressure softening techniquePostpartum Mothers
Compare the level of pain using faces pain scale and colour analogue pain scale among children aged between 6 to 12 years attending in pediatric ward
Faces pain scale and colour analogue pain scale are two methods to assess the pain of the children. There many method to assess the pain of the children but mostly all the hospital is using faces pain scale to assess the pain of the children.
Colour analogue pain scaleFaces pain scalePain assessment
As the prevalence of diabetes is high in the current scenario, globally it is very much essential to control diabetes as a nurse working in the medical profession. Apple cider vinegar has been proven to have beneficial effect in reducing hyperglycemia.
Apple cider vinegarDiabetic clientsHyperglycemia
A study to assess the knowledge on anemia and adherence to iron folate supplementation among antenatal women at a selected hospital in Chennai
To assess the knowledge on anaemia among antenatal women. To determine the adherence to iron folate supplementation among antenatal women. To identify the relationship between knowledge on anaemia and adherence to iron folate supplementation and to determine the association between knowledge and adherence with the selected background variables of antenatal women.
Stress and coping strategies among the spouses of the alcoholic in Bharatha Matha de-addiction center, Puducherry
Alcoholism Physiological problems (hand tremors and blackouts), Psychological problems, (an obsessive desire to drink), Behavioral problems that affect work or social life.
StressCoping strategiesSpousesAlcoholic patientsDe-addiction center
The current research study aims to address the representation of gender in animated content on children's TV in India through the lens of political economy by understanding the perspectives of media experts.
GenderCartoonMedia professionalsTVIndian children
Customer satisfaction has a crucial role in forming consumers' subsequent purchase behavior and intentions.
ConvenienceProvisional storesKiranaCustomer SatisfactionCOVID-19
Menstrual irregularities are very common in young females nowadays. Menstrual irregularities can include an array of conditions like amenorrhea, oligomenorrhea, menorrhagia and metrorrhagia.
Menstrual irregularitiesMenstrual disordersFactorsHormones homeostasis
Organ trafficking and the legal framework in India: a critical analysis of the transplantation of human organs and tissues act, 1994
Organ trafficking, due to its subtle nature, is a less-addressed form of trafficking, among others. It has been decades that the first-ever successful organ transplantation took place.
Organ traffickingOrgan tradeTransplant tourismIllegal TransplantTHOA
Artificial Intelligence (AI) has numerous potential applications in the healthcare sector. These applications vary from its use in quicker disease diagnosis to its assistance for efficiently dealing with pandemic situations.
Artificial Intelligence (AI)Technology adoptionUTAUT2TAM2HealthcareDoctorsMedical SpecialistsPLS-SEM
Psychological contract factors affecting organizational citizenship behavior in blended workforce: a multi-industry study
Today's organizations give rise to a blended workforce, which consists of a healthy mixture of permanent and gig employees.
Organizational Citizenship BehaviorPsychological ContractGig employmentBlended WorkforceMulti-Industry
Persisting misogyny: a gendered analysis of online harassment of indian content creators on instagram and its impact on mental health
As the digital medium increasingly becomes an irreplaceable part of life for people, trolling is on the rise too.
InstagramMisogynyOnline HarassmentTrollingSocial Media
Digitalization has helped in the transformation of several industries in the last 20 years.
DigitalizationRetail sectorCOVID-19Use-casesPhysical interactionModern Technology
During a pandemic, the most affected aspects are the business economy and other sectors and areas globally.
COVID-19IT businessSample companiesRandom functionStock marketFinancial records
Analyzing the effectiveness of stress management practices post COVID-19 with a modified job stress scale
Post COVID-19, there is increased psychological stress and depression over the whole world population.
Job stress scaleCOVID-19Mental Health ProblemsInsecurityCorporate Company
COVID-19 pandemic is far more than just the health crisis. After the Great Depression, the dot-com bubble, and the 2008 financial crash, we are staring at the biggest challenge for the economy. No industry has been spared from the brunt of this pandemic.
IntrapreneurshipCOVID-19 and its impactEntrepreneurial spiritcorporate entrepreneurshipEconomic developmentEntrepreneurship
The county of origin research has studied the influence of a product's origination on a buyer's impression.
Country of Origin (COO)Consumer attitudePurchase intensionPurchase decisionConceptual interfac
The outbreak of the Covid-19 pandemic has created a profound impact on every sector of our life. The most significant effect of this global pandemic is “global lockdown."The lockdown has brought many changes in our lifestyle.
COVID-19Global PandemicNetwork ConnectivityWork from HomeOTTImpactRiseOnline UsageQuantitative Analysis
The world witnessed the biggest pandemic in almost 100 years, the impact of which is felt in all walks of life. It will be early days to predict too many things. But it is essential to foresee the economic impact of COVID-19.
Economic TurmoilQuantitative KnowledgeAgricultural SectorFarmer SurveyAgricultural Wages
Work-life balance is highly desirable and involves maintaining equilibrium between professional and personal work. With the onset of a novel coronavirus pandemic, the workforce has seen unprecedented changes.
COVID-19Work-life balanceIT sectorWork from HomePandemic
The paper attempts to understand and analyze the factors that influence different types of end consumer's behavior while shopping for groceries both online and offline, considering the Covid-19 pandemic situations.
Pandemic grocery shoppingPandemic factorsE‑commerceFMCGDecision‑Making processConsumer BehaviorCovid-19
Analysis and comparison of prediction of heart disease using Novel K nearest neighbor and decision tree algorithm
Prediction of coronary illness utilizing novel Novel k nearest neighbor (KNN) and contrasting its accuracy with decision tree algorithm.
Novel k nearest neighborDecision TreeMachine LearningHeart Disease Coronary IllnessSamplesAccuracy
Analysis and comparison of prediction of heart disease using novel random forest and Naive Bayes algorithm
Prediction of heart disease using Novel Random Forest and comparing its accuracy with Naive Bayes algorithm.
Heart disease predictionNovel Random Forest Naive Bayes AlgorithmAccuracyEnormous DataStatistical significanceSamples
Analysis and Comparison of Kidney Stone Detection using Minimum Distance to Mean Classifier and Bayesian Classifier with Improved Classification Accuracy
The goal of this research is to use minimum distance to mean classifier and bayesian classifiers to predict and detect kidney stones.
Kidney stoneImage ClassificationClassifiersMinimum Distance to Mean ClassifierInnovative Bayesian Classifier
Analysis and Comparison of Image Enhancement Technique for Improving PSNR of Lung Images by Unsharp Mask Filtering Technique over Histogram Equalization Technique
The goal of study in this image enhancement technique is to enhance both contrast and sharpness of an image simultaneously to improve PSNR.
Image EnhancementFiltering TechniqueImage ProcessingUnsharp Mask FilterPeak Signal to Noise Ratio (PSNR)Novel Histogram Equalization Technique
Detection and comparison of Diabetic Maculopathy using C-Means Clustering Algorithm and Watershed Algorithm
The aim of this research work is for the presence of Novel Diabetic Maculopathy Detection using modern algorithms, and comparing the Peak Signal to Noise Ratio (PSNR) between the C-Means clustering Algorithms and Watershed Algorithm.
Novel Diabetic Maculopathy DetectionMachine learningC-Means Clustering AlgorithmWatershed Algorithm MATLAB ProgrammingPeak Signal to Noise Ratio (PSNR)
Analysis and Comparison for Innovative Prediction Technique of Breast Cancer Tumor by Naive Bayes Algorithm over Support Vector Machine Algorithm with Improved Accuracy
This research aims to determine the presence of breast cancer using Machine learning techniques and improving the accuracy of breast cancer prediction.
Innovative Breast Cancer PredictionMachine LearningNaive BayesSupport vector machineAccuracySensitivity
Analysis and Comparison for Innovative Prediction Technique of Breast Cancer Tumor by Linear Discriminant Analysis Algorithm over Support Vector Machine Algorithm with Improved Accuracy
The objective of this study is to use machine learning algorithms to detect the presence of breast cancer tumors and compare accuracy, sensitivity, and precision between the Linear Discriminant Analysis (LDA) and Support vector machine algorithm (SVM).
Innovative Breast Cancer PredictionMachine Learning AlgorithmsLinear Discriminant AnalysisSupport Vector MachineAccuracySensitivity
Analysis and Comparison for Innovative Prediction Technique of COVID-19 using Support Vector Machine over Neural Network algorithm with Improved Accuracy
The primary purpose of this study is to improve the accuracy of COVID-19 prediction and evaluation.
Innovative COVID-19 predictionMachine learningNeural NetworkSupport vector machineAccuracy
Analysis And Comparison Of Ventricular Cardiac Arrhythmia Classification Using Potassium Channel Parameters With ANN And KNN Classifier
The Motive of this research is to analyze, compare ventricular Cardiac Arrhythmia (CA) classification using potassium channel (k+) parameters with Artificial Neural Network (ANN) and K-Nearest Neighbor (KNN) classifiers.
Ventricular Cardiac ArrhythmiaPotassium IonPotassium ChannelNovel ANN and KNN ClassifiersAction PotentialBradycardiaTachycardia
Analysis and Comparison for Prediction of Diabetic among Pregnant Women using Innovative K-Nearest Neighbor Algorithm over Logistic Regression with Improved Accuracy
In comparison to the K-Nearest Neighbor(KNN)algorithm, Logistic Regression(LR) was used in machine learning algorithms for the prediction of diabetes among pregnant women to get better accuracy, PEARCEsensitivity, and precision.
Diabetes prediction Innovative K-Nearest Neighbor algorithmLogistic Regression algorithmArtificial IntelligentAccuracy
Analysis and Comparison of Neural Network Algorithm for Prediction of Cardiovascular Disease over Support Vector Machine Algorithm with Improved Precision
Aim is to find the best algorithm for the prediction of Innovative cardiovascular disease accurately, with fewer errors between Neural Network and Support Vector Machine classifiers.
Innovative Cardiovascular DiseaseMachine LearningNeural Network algorithmSupport Vector Machine AlgorithmAccuracyPrecision
Analysis and Comparison of Image Enhancement Techniques for Improving PSNR of Liver Images by Median Filtering over Mask Filtering
The main goal of this project is image enhancement to improve interpretability or perception of information in images for human viewers and also to provide better input for other automated image processing techniques.
Image EnhancementFiltering TechniqueMedian FilterPeak Signal to Noise Ratio (PSNR)Novel Histogram Equalization TechniqueImage Processing
Comparative Analysis of Hepatitis C Using K-Nearest Neighbor Classifier and Decision Tree Classifier
The purpose of this study is comparing the accuracy, sensitivity and specificity of K-Nearest Neighbor Classifier and Decision Tree classifier in detecting the presence of Novel Hepatitis C Detection using contemporary methods.
Novel Hepatitis C DetectionK-Nearest Neighbor ClassifierDecision TreeMachine learningAccuracySensitivitySpecificity
An Effective Approach to Detect Liver Disorder using CNN Algorithm in Comparison with Random Forest Algorithm to Measure Accuracy
The ultimate aim of this work is to show the better mean accuracy of CNN algorithm in comparison with random forest algorithm on detection of liver disorder.
CNN algorithmRandom forest AlgorithmLiver disorderArtificial intelligenceDeep learningInnovative Liver disorder detection
Comparative Studies on the Effect of Tris-Egg Yolk and Soya Milk Based Semen Extender on various Semen Parameters for Effective Long Term Cryopreservation
To analyze the most effective Novel semen extender for long time cryopreservation among Tris egg yolk extender and Soya milk extender.
SemenCryopreservationNovel semen extenderTris egg yolk extenderSoya milk extenderAssisted Reproductive Technology
Comparative Study on Effectiveness of Wine Vinegar Over Commercially Available Vinegar Using Chemical Titration Technique for Chicken Quality Analysis
Vinegar producers are still on a mission to find acetic acid bacteria fermentation that produces extremely strong vinegar.
AcetobacterSaccharomyces cerevisiaeWineFermentationInnovative Grape Vinegar
Comparison of Antibacterial Activity of Ethanolic Fractions Separated from Trichoderma with the Commercial Antibiotic Methicillin against Drug-Resistant Bacteria using Minimum Inhibitory Concentration Method
To compare the antibacterial activity of innovative ethanolic fractions of Trichoderma viride against Drug-resistant bacteria.
Trichoderma virideInnovative Ethanolic FractionsMICMRSASusceptible bacteriaAntibacterial ActivityDrug-resistant
Computer Aided Detection (CAD) and diagnostic technologies and their application have emerged in the last decade.
Lung cancerComputer aided diagnosisComputed tomography imagesMedical image analysis
Adaptive Reinforcement learning with Dij-Huff Method to Secure Optimal Route in Smart Healthcare System
The Wireless Sensor Network (WSN) is a multi-hop wireless network that contains multiple sensor nodes agreed in a self-organized mode. The significant advancement in the healthcare, the security of the medical data became huge disputes for healthcare services.
Adaptive Reinforcement learningDijkstra’s algorithmBinary hop countIntrusion Detection SystemHop securityWireless sensor network
Dyspepsia is a common gastrointestinal (GI) condition around the world. Dyspepsia is a symptom complex that includes a variety of upper GI symptoms such as epigastric pain or burning, early satiety, and post-prandial fullness.
Physico-chemical parameters of mixed saliva and their correction in patients in the post-COVID period
In patients in the post-COVID period, there is a decrease in the functional activity of the salivary glands. In general, in patients who underwent COVID-19, basal secretion was reduced by 19.51% (P≤0,05); secretion stimulated by chewing - by 31.67% (P≤0.01) and secretion stimulated by acid - by 29.60% (P≤0.01).
Hypothyroidism may occur as a result of primary gland failure or insufficient thyroid gland stimulation by the hypothalamus or pituitary gland. Hypothyroidism may be associated with pernicious anemia as part of the autoimmune polyglandular endocrinopathy.
HypothyroidismVitamin B12Nitric oxideThyroid hormones
The pathogenesis of the SARS-CoV-2 virus responsible for COVID-19 disease is ever unravelling. Researchers are continuously generating evidence regarding the mechanism of the infection and its complications.
Vitamin DVitamin CVitamin B 12 COVID-19
Aplasia cutis congenita (ACC) is a rare malformation characterized by localized congenital absence of the skin.
Oral epithelium migrates into the defect when an oroantral communication lasts more than three weeks, at which point it is referred to as an oroantral fistula. Oroantral fistula (OAF) can arise for a variety of reasons, including the extraction of maxillary posterior teeth, treatments for sinus augmentation, the improper use of implant drills, trauma to the craniofacial region, osteoradionecrosis, and flap necrosis.
Oroantral fistulaBuccal flap
Odontogenic infections have tormented mankind since the dawn of civilization. With the advancement of modern medicine and newer potent antibiotics, one is able to combat this potentially fatal disease. This case report aims to emphasize the importance of timely intervention, role of comorbidities and possible complications of space infection.
Space infectionAbscessSwellingIncision and drainage
Profile of dyslipidemia among attendees of preventive OPD in a tertiary care hospital in district Ghaziabad - A Cross sectional study
Cardiovascular diseases (CVD) are the major cause of morbidity and mortality in our society with Dyslipidemia contributing significantly to atherosclerosis. To find proportion and distribution of Dyslipidemia among the apparently healthy young adult visiting the preventive OPD of a tertiary care Hospital.
Cardiovascular diseaseAtherosclerosisDyslipidemiaDistribution and proportion
Study of prevalence of acute respiratory tract infection and its risk factors among under five children of slums of Ghaziabad city
Acute respiratory infections (ARIs) contribute to major disease associated mortality and morbidity among children under 5 years of age.
ChildrenAcute respiratory tract illness (ARI)Risk factorsInfections
Mycobacterium Tuberculosis is a complex organism in which lungs are the main portal of infection. Tuberculosis affecting organs other than lungs called as extrapulmonary tuberculosis. Tuberculous lymphadenitis is the most common form of Extrapulmonary Tuberculosis contributing to 35 percent of Extrapulmonary Tuberculosis cases.
MTBEPTBCBNAATAFB CultureRifampicin Resistance
Whey protein beverages' viscosity, lactose content, and acidic pH could all pose risks to the oral cavity's current composite restorations.
Whey proteins ACompositesSurface roughnessErosions
A Cross-sectional Observational Study to Assess Mastication Muscle Function by Using Surface Electromyography
Patients with different malocclusions may show the different activities of masticatory muscle.
Patients with coronavirus illness experienced a cytokine storm as a major cause of morbidity and mortality in 2019. (COVID-19).
Nearly 98% of total deaths in neonatal period occur in developing countries all over the world and are mainly caused by infection, asphyxia, LBW and prematuriy
Sick Newborn Care UnitsNeonatesReferral
Effect of Atenolol plus Amlodipine on blood sugar level and lipid profile in patients of essential hypertensive patients
Study was conducted to evaluation effect of Atenolol plus Amlodipine on blood glucose level and lipid profile in essential hypertensive patients.
Becker’s nevus is a rare non-cancerous hamartoma characterized by hyperpigmentation and hypertrichiosis with ill-defined borders.
Wilson's illness is an autosomal dominant impairment of copper metabolism that results from the lack of or dysfunction of a copper-transporting P-type ATPase, which is expressed on chromosome 13.
Cancer of the oral cavity is described as the uncontrolled proliferation of cells that can be observed in the Oral cavity. The sore in the mouth could resemble a growth or an open sore, but it won't go away.
DiagnosisDelayOral cavityMouth cancerEarly detectionIndia
Catamenial pneumothorax, an extremely rare condition, is defined as the accumulation of air in the pleural cavity occurring in conjunction with menstrual periods and during ovulation. It accounts in only 3- 6 %. This is primarily caused by endometriosis of pleura. It is seen in 30- 40 years aged women.
Post-sepsis syndrome is an evolving pathological entity that has gathered marked interest amongst clinicians and researchers over the last two decades.
Life expectancy decline in people with treated tuberculosis and the possible benefits of prophylaxis
Evidence of significant, measurable, and preventable loads of mortality risk even after anti-tuberculosis therapy and cure would be a convincing, tangible, and meaningful indicator of the efficacy of prevention.
Theoretical design of new healthy organic dyes for solar cell applications with favorite medicinal effect
In this work, a computational investigation was used to design and study new materials based on carminic acid isomers as organic dyes for DSSCs.
DFT Carminic acid Dye-sensitized Electronic structure Optical
An innovative penalty based heart disease prediction system using novel random forest over logistic regression classifier algorithm
The main goal of the research is see how accurately predicting heart disease by Logistic Regression (LR) and Novel Random Forest(RF) Classifications.
Novel Random Forest Logistic Regression Data Mining Blood pressure Pulse rate Heart Disease Classification
Prediction of heart disease using forest algorithm over K-nearest neighbors using machine learning with improved accuracy
To perform Predicting heart disease using the Forest algorithm and comparing its feature extraction precision with the K-nearest neighbors algorithm for working on the precision of the forecast.
Forest Algorithm K-Nearest Neighbors Algorithm Predicting Heart Disease Machine Learning Supervised Classification Novel Dimensionality Reduction
Prediction of heart disease using forest algorithm over decision tree using machine learning with improved accuracy
To predict the heart disease using Forest Algorithm and comparing it with Decision Tree algorithm for improving the accuracy in predicting heart disease.
Machine Learning Forest Algorithm Prediction of Heart Disease Supervised Classification Novel Principal Component Analysis Decision Tree
Classification and prediction of heart disease using novel random forest algorithm by comparing logistic regression for obtaining better accuracy
Heart attacks are usually caused due to blockages, partially or completely, of the heart’s veins or arteries that constrict the flow of blood from or to the heart.
Coronary Disease Novel Random Forest Algorithm Logistic Regression Machine Learning Classification Prediction
Performance analysis of heart disease prediction system using novel random forest over Naive Bayes algorithm with an improved accuracy rate
The cardiac is a vital organ in the human body. Life is entirely dependent on the functional workings of the heart. Cardiovascular disease refers to diseases of the cardiac and the blood vessels that supply it.
Prediction Novel Random Forest Naive Bayes Machine Learning Coronary Disease Classification
Heart plaque detection with improved accuracy using decision tree in comparison with least squares support vector machine
The main aim of this research is to detect heart plaque using the Decision Tree algorithm with improved accuracy and comparing it with Least Squares Support Vector Machine.
Heart Plaque Novel statistical feature Decision Tree Least Squares Support Vector Machine Prediction Machine learning
Heart plaque detection with improved accuracy using logistic regression and comparing with least squares support vector machine
The major goal of this study is to compare the effectiveness of the Logistic Regression classifier with the Least Squares Support Vector Machine classifier in detecting plaque in the heart with high accuracy.
Heart Plaque Novel texture feature Logistic Regression algorithm Least Squares Support Vector Machine Prediction Machine learning
Simulation of resistivity in silver and copper nanowire composite filament using composite filament simulation 3D to predict the resistivity of the nanowire
The aim of this research work is to determine and compare the electrical resistivity of silver and copper nanowire by using the Novel Composite Filament Simulation Tool.
Nanowire Silver nanowire Copper nanowire Electrical resistivity Electrical properties Novel Composite Filament Simulation Tool Nanotechnology
Identification of acral melanoma using genetic algorithms compared with convolutional neural network using dermoscopic images
Identification of acral melanoma using genetic algorithm compared with convolutional neural network CNN using dermoscopic images.
Acral Melanoma Convolutional Neural Network CNN Genetic Algorithm Innovative Technique Machine Learning Skin Cancer
Comparative study of molecular interaction of quercetin and imatinib with BCR-ABL Fusion protein in-silico for the selective anti-CML activity of quercetin
To study the comparative molecular interactions of Quercetin and Imatinib with the active sites of Breakpoint Cluster Region (BCR)-Abelson (ABL) fusion protein using molecular docking analysis for the selective anti-Chronic myeloid leukemia (CML) activity.
Quercetin Imatinib BCR-ABL fusion protein Novel Anti-CML agent Molecular docking Autodock Vina Software
Comparative analysis of antibiofilm properties of fluorescein derivatives over commercial antibiotics
The study is about to compare the antibiofilm properties of Novel Fluorescein derivatives to those of commercial antibiotics, using docking to see how the ligand, protein, and antibiotic interact molecularly.
Cephalexin Cephalexin monohydrate Novel Fluorescein PDB Biofilm Protein-B domain Autodock
Heart disease prediction based on age detection using novel logistic regression over support vector machine
To improve the accuracy in Heart Disease Prediction using Novel Logistic Regression and Support Vector Machine.
Novel Logistic Regression Support Vector Machine Heart disease prediction Accuracy Machine Learning
To improve the accuracy in Heart Disease Prediction using Logistic Regression and Random Forest.
Logistic Regression Novel Random Forest Heart disease prediction Accuracy Machine Learning
Smart edge detection technique in X-ray images for improving PSNR using sobel edge detection algorithm with gaussian filter in comparison with laplacian algorithm
The aim of this study is to propose smart edge detection techniques in x-ray images for improving PSNR using the sobel edge detection algorithm and comparing it with the laplacian algorithm.
Edge detection Sobel Edge Detection Laplacian Algorithm PSNR Image processing Innovative edge detection technique
Study on the flexural strength of glass fiber reinforced M20 grade self-compacting bacterial concrete
The goal of this research is to determine the effect of glass fibre on the flexural strength of M20 grade self-healing concrete utilising a unique approach called microbial induced calcite precipitation.
Flexural Strength Glass Fiber Reinforced M20 Grade Self-healing Concrete Novel Technique Microbial Induced Calcite Precipitation Super plasticizer Tex mix 550
Comparative analysis of chronic kidney disease using novel decision tree algorithm by comparing linear regression for obtaining better accuracy
Chronic kidney disease (CKD) is among the main 20 reasons for death worldwide and influences around 10% of the world grown-up populace.
Chronic Kidney Disease Novel Decision Tree Linear Regression Machine Learning Classification Diabetes
Smart edge detection technique in x-ray images for improving PSNR using robert edge detection algorithm with gaussian filter in comparison with laplacian algorithm
This study aims to propose smart edge detection techniques in x-ray images for improving PSNR using the Robert edge detection algorithm and compared it with the laplacian algorithm.
Edge detection Robert Edge Detection laplacian Algorithm PSNR Image processing Innovative edge detection