Usha Rani Bhimavarapu

Publications

• A Literature Survey on Word Sense Disambiguation for the Hindi Language
• The effect of various in-vitro and ex-vivo parameters on irrigant flow and apical pressure using manual syringe needle irrigation: Systematic review
• The promise of telemedicine in Pakistan: A systematic review
• Automatic Microaneurysms Detection for Early Diagnosis of Diabetic Retinopathy Using Improved Discrete Particle Swarm Optimization
• Cascaded Deep Learning Frameworks in Contribution to the Detection of Parkinson’s Disease
• LASSO Regression Modeling on Prediction of Medical Terms among Seafarers’ Health Documents Using Tidy Text Mining
• A Two-Year Comparative Evaluation of Clinical Performance of a Nanohybrid Composite Resin to a Flowable Composite Resin
• Process Mining in Clinical Practice: Model Evaluations in the Central Venous Catheter Installation Training
• A Survey on the Role of Artificial Intelligence in Biobanking Studies: A Systematic Review
• How does artificial intelligence impact digital healthcare initiatives? A review of AI applications in dental healthcare
• Maritime Telemedicine: Design and Development of an Advanced Healthcare System Called Marine Doctor
• Skin Lesion Analysis for Melanoma Detection Using the Novel Deep Learning Model Fuzzy GC-SCNN
• Exploring the integration of artificial intelligence (AI) and augmented reality (AR) in maritime medicine: A narrative literature review (Preprint)
• Hypersensitivity reaction to hyaluronic acid dermal filler after the Pfizer vaccination against SARS-CoV-2
• Self-Reported Modifiable Risk Factors of Cardiovascular Disease among Seafarers: A Cross-Sectional Study of Prevalence and Clustering
• The Magnitude of Cardiovascular Disease Risk Factors in Seafarers from 1994 to 2021: A Systematic Review and Meta-Analysis
• Optimized outdoor parking system for smart cities using advanced saliency detection method and hybrid features extraction model
• A Fair and Safe Usage Drug Recommendation System in Medical Emergencies by a Stacked ANN
• Improved Carpooling Experience through Improved GPS Trajectory Classification Using Machine Learning Algorithms
• Artificial Intelligence Models in the Diagnosis of Adult-Onset Dementia Disorders: A Review
• Systematic review on the current state of disaster preparation Simulation Exercises (SimEx)
• Machine Learning Driven by Magnetic Resonance Imaging for the Classification of Alzheimer Disease Progression: Systematic Review and Meta-Analysis (Preprint)
• Machine Learning Driven by Magnetic Resonance Imaging for the Classification of Alzheimer Disease Progression: Systematic Review and Meta-Analysis
• Tele-Neuropsychological Assessment of Alzheimer’s Disease
• Physical Activity Recommendation System Based on Deep Learning to Prevent Respiratory Diseases
• A Survey on Recent Advancements in Auto-Machine Learning with a Focus on Feature Engineering
• Voice Biomarkers for Parkinson's Disease Prediction Using Machine Learning Models with Improved Feature Reduction Techniques
• Automatic Classification of Hypertensive Retinopathy by Gray Wolf Optimization Algorithm and Naïve Bayes Classification
• Improved Alzheimer’s Disease Detection by MRI Using Multimodal Machine Learning Algorithms
• Automatic Detection and Classification of Diabetic Retinopathy Using the Improved Pooling Function in the Convolution Neural Network
• The Use of Radio and Telemedicine by TMAS Centers in Provision of Medical Care to Seafarers: A Systematic Review
• Deep Learning for the Detection and Classification of Diabetic Retinopathy with an Improved Activation Function
• Improved Optimization Algorithm in LSTM to Predict Crop Yield
• SARS-CoV-2 epidemic calculation in Italy by SEIR compartmental models
• Brain Tumor Detection and Categorization with Segmentation of Improved Unsupervised Clustering Approach and Machine Learning Classifier
• Multi-Classification of Lung Infections Using Improved Stacking Convolution Neural Network
• Risk prediction model of self-reported hypertension for telemedicine based on the sociodemographic, occupational and health-related characteristics of seafarers: a cross-sectional epidemiological study
• Text mining with sentiment analysis on seafarers’ medical documents
• Telemedicine framework to mitigate the impact of the COVID-19 pandemic
• Generative adversarial network: An overview of theory and applications
• Sentimental Analysis of COVID-19 Tweets Using Deep Learning Models
• Impact of Obesity-Induced Inflammation on Cardiovascular Diseases (CVD)
• A Review of Prolonged Post-COVID-19 Symptoms and Their Implications on Dental Management
• Google Trend Analysis and Paradigm Shift of Online Education Platforms during the COVID-19 Pandemic
• Web-based chatbot for Frequently Asked Queries (FAQ) in Hospitals
• The Benefits of Telemedicine in Personalized Prevention of Cardiovascular Diseases (CVD): A Systematic Review
• Automatic Detection and Classification of Hypertensive Retinopathy with Improved Convolution Neural Network and Improved SVM
• Approaches to Medical Emergencies on Commercial Flights
• Periapical Healing following Root Canal Treatment Using Different Endodontic Sealers: A Systematic Review
• Quantitative Measurements of the Depth of Enamel Demineralization before and after Bleach: An In Vitro Study
• Policies and Challenges on the Distribution of Specialists and Subspecialists in Rural Areas of Iran
• Comprehensive study on importance of feature selection methods to predict cancer tumor types
• Applications of Machine Learning Predictive Models in the Chronic Disease Diagnosis
• Development of quality assessment tool for websites of the international aesthetic medicine societies
• Comparative Machine-Learning Approach: A Follow-Up Study on Type 2 Diabetes Predictions by Cross-Validation Methods
• Design and evolution of the Seafarer's Health Passport for supporting (tele)-medical assistance to seafarers.
• Development of physical training smartphone application to maintain fitness levels in seafarers.
• Comparative analysis of the medicinal compounds of the ship's "medicine chests" in European Union maritime countries. Need for improvement and harmonization.
• COVID-19 virus outbreak forecasting of registered and recovered cases after sixty day lockdown in Italy: A data driven model approach
• COVID-19 outbreak reproduction number estimations and forecasting in Marche, Italy
• Machine learning in medicine: Performance calculation of dementia prediction by support vector machines (SVM)
• Report on market analysis and preventions need to provide medications for rural patients of Italy using ICT technologies
• AI Chatbot Design during an Epidemic like the Novel Coronavirus
• A Comprehensive Machine-Learning Model Applied to Magnetic Resonance Imaging (MRI) to Predict Alzheimer’s Disease (AD) in Older Subjects
• Factors affecting the quality and reliability of online health information
• Designing of an Expert system for the management of Seafarer’s health
• Forecasting of COVID-19 epidemic size in four high hitting nations (USA, Brazil, India and Russia) by Fb-Prophet machine learning model
• Conceptual Framework and Designing for a Seafarers’ Health Observatory (SHO) Based on the Centro Internazionale Radio Medico (C.I.R.M.) Data Repository
• Assessment of Awareness and Knowledge on Novel Coronavirus (COVID-19) Pandemic among Seafarers
• The promise of Telemedicine in Pakistan: A Systematic Review (Preprint)
• Incidence of occupational injuries and diseases among seafarers: a descriptive epidemiological study based on contacts from onboard ships to the Italian Telemedical Maritime Assistance Service in Rome, Italy