GOPI BATTINENI (0000-0003-0603-2356)

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Biography

Currently, Gopi Battineni is a postdoctoral researcher at the University of Camerino working on medical informatics. Interested in Machine Learning, AI, Process Mining, Prediction Analysis, and Data Mining Tools: Prom, R, Python, and Weka. The current project is "Implementation of machine learning algorithms in biobanking.".

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Università degli Studi di Camerino: Camerino, Marche, IT

2018-03-02 to present | Research Scholar (Clinical Research Centre)

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GOPI BATTINENI

https://orcid.org/0000-0003-0603-2356

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Biography

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Employment (1)

Università degli Studi di Camerino: Camerino, Marche, IT

Education and qualifications (4)

University of Camerino: Camerino, Marche, IT

University of Bordeaux: Bordeaux, FR

Sheffield Hallam University: Sheffield, South Yorkshire, GB

Jawaharlal Nehru Technological University, Kakinada: Kākināda, Andhra Pradesh, IN

Works (50 of 73)

The Impact of Telemedicine Technologies on Brain Small Vessel Disease and Ethical Concerns

Machine Learning-Driven Prediction of Vitamin D Deficiency Severity with Hybrid Optimization

Forecasting of COVID-19 epidemic size in four high hitting nations (USA, Brazil, India and Russia) by Fb-Prophet machine learning model

Machine Learning Driven by Magnetic Resonance Imaging for the Classification of Alzheimer Disease Progression: Systematic Review and Meta-Analysis

SARS-CoV-2 epidemic calculation in Italy by SEIR compartmental models

Approaches to Medical Emergencies on Commercial Flights

Machine Learning Driven by Magnetic Resonance Imaging for the Classification of Alzheimer Disease Progression: Systematic Review and Meta-Analysis (Preprint)

Brain Tumor Detection and Categorization with Segmentation of Improved Unsupervised Clustering Approach and Machine Learning Classifier

Automatic Detection and Classification of Hypertensive Retinopathy with Improved Convolution Neural Network and Improved SVM

Systematic review on the current state of disaster preparation Simulation Exercises (SimEx)

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

Exploring the integration of artificial intelligence (AI) and augmented reality (AR) in maritime medicine: A narrative literature review (Preprint)

Multi-Classification of Lung Infections Using Improved Stacking Convolution Neural Network

A Literature Survey on Word Sense Disambiguation for the Hindi Language

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

Automatic Classification of Hypertensive Retinopathy by Gray Wolf Optimization Algorithm and Naïve Bayes Classification

A Survey on Recent Advancements in Auto-Machine Learning with a Focus on Feature Engineering

The Magnitude of Cardiovascular Disease Risk Factors in Seafarers from 1994 to 2021: A Systematic Review and Meta-Analysis

How does artificial intelligence impact digital healthcare initiatives? A review of AI applications in dental healthcare

Voice Biomarkers for Parkinson's Disease Prediction Using Machine Learning Models with Improved Feature Reduction Techniques

Improved Optimization Algorithm in LSTM to Predict Crop Yield

Optimized outdoor parking system for smart cities using advanced saliency detection method and hybrid features extraction model

Deep Learning for the Detection and Classification of Diabetic Retinopathy with an Improved Activation Function

Physical Activity Recommendation System Based on Deep Learning to Prevent Respiratory Diseases

Artificial Intelligence Models in the Diagnosis of Adult-Onset Dementia Disorders: A Review

Improved Carpooling Experience through Improved GPS Trajectory Classification Using Machine Learning Algorithms

A Fair and Safe Usage Drug Recommendation System in Medical Emergencies by a Stacked ANN

Skin Lesion Analysis for Melanoma Detection Using the Novel Deep Learning Model Fuzzy GC-SCNN

Maritime Telemedicine: Design and Development of an Advanced Healthcare System Called Marine Doctor

A Survey on the Role of Artificial Intelligence in Biobanking Studies: A Systematic Review

Process Mining in Clinical Practice: Model Evaluations in the Central Venous Catheter Installation Training

LASSO Regression Modeling on Prediction of Medical Terms among Seafarers&rsquo; Health Documents Using Tidy Text Mining

Cascaded Deep Learning Frameworks in Contribution to the Detection of Parkinson’s Disease

The effect of various in-vitro and ex-vivo parameters on irrigant flow and apical pressure using manual syringe needle irrigation: Systematic review

Automatic Microaneurysms Detection for Early Diagnosis of Diabetic Retinopathy Using Improved Discrete Particle Swarm Optimization

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

The promise of telemedicine in Pakistan: A systematic review

Development of quality assessment tool for websites of the international aesthetic medicine societies

Hypersensitivity reaction to hyaluronic acid dermal filler after the Pfizer vaccination against SARS-CoV-2

Improved Alzheimer’s Disease Detection by MRI Using Multimodal Machine Learning Algorithms

Web-based chatbot for Frequently Asked Queries (FAQ) in Hospitals

A Two-Year Comparative Evaluation of Clinical Performance of a Nanohybrid Composite Resin to a Flowable Composite Resin

Tele-Neuropsychological Assessment of Alzheimer’s Disease

The Benefits of Telemedicine in Personalized Prevention of Cardiovascular Diseases (CVD): A Systematic Review

Self-Reported Modifiable Risk Factors of Cardiovascular Disease among Seafarers: A Cross-Sectional Study of Prevalence and Clustering

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

Generative adversarial network: An overview of theory and applications

Peer review (8 reviews for 6 publications/grants)

LASSO Regression Modeling on Prediction of Medical Terms among Seafarers’ Health Documents Using Tidy Text Mining