| Applications of machine learning predictive models in the chronic disease diagnosis G Battineni, GG Sagaro, N Chinatalapudi, F Amenta Journal of personalized medicine 10 (2), 21, 2020 | 316 | 2020 |
| COVID-19 virus outbreak forecasting of registered and recovered cases after sixty day lockdown in Italy: A data driven model approach N Chintalapudi, G Battineni, F Amenta Journal of Microbiology, Immunology and Infection 53 (3), 396-403, 2020 | 307 | 2020 |
| Machine learning in medicine: Performance calculation of dementia prediction by support vector machines (SVM) G Battineni, N Chintalapudi, F Amenta Informatics in Medicine Unlocked 16, 100200, 2019 | 235 | 2019 |
| Sentimental analysis of COVID-19 tweets using deep learning models N Chintalapudi, G Battineni, F Amenta Infectious disease reports 13 (2), 329-339, 2021 | 187 | 2021 |
| AI chatbot design during an epidemic like the novel coronavirus G Battineni, N Chintalapudi, F Amenta Healthcare 8 (2), 154, 2020 | 173 | 2020 |
| Text mining with sentiment analysis on seafarers’ medical documents N Chintalapudi, G Battineni, M Di Canio, GG Sagaro, F Amenta International Journal of Information Management Data Insights 1 (1), 100005, 2021 | 124 | 2021 |
| Impact of obesity-induced inflammation on cardiovascular diseases (CVD) G Battineni, GG Sagaro, N Chintalapudi, F Amenta, D Tomassoni, ... International Journal of Molecular Sciences 22 (9), 4798, 2021 | 120 | 2021 |
| Factors affecting the quality and reliability of online health information G Battineni, S Baldoni, N Chintalapudi, GG Sagaro, G Pallotta, G Nittari, ... Digital health 6, 2055207620948996, 2020 | 118 | 2020 |
| A comprehensive machine-learning model applied to magnetic resonance imaging (mri) to predict alzheimer’s disease (ad) in older subjects G Battineni, N Chintalapudi, F Amenta, E Traini Journal of Clinical Medicine 9 (7), 2146, 2020 | 86 | 2020 |
| Comparative machine-learning approach: A follow-up study on type 2 diabetes predictions by cross-validation methods G Battineni, GG Sagaro, C Nalini, F Amenta, SK Tayebati Machines 7 (4), 74, 2019 | 86 | 2019 |
| Google trend analysis and paradigm shift of online education platforms during the COVID-19 pandemic AK Kansal, J Gautam, N Chintalapudi, S Jain, G Battineni Infectious Disease Reports 13 (2), 418-428, 2021 | 81 | 2021 |
| COVID-19 outbreak reproduction number estimations and forecasting in Marche, Italy N Chintalapudi, G Battineni, GG Sagaro, F Amenta International Journal of Infectious Diseases 96, 327-333, 2020 | 70 | 2020 |
| Forecasting of COVID-19 epidemic size in four high hitting nations (USA, Brazil, India and Russia) by Fb-Prophet machine learning model G Battineni, N Chintalapudi, F Amenta Applied Computing and Informatics, 2020 | 61 | 2020 |
| The benefits of telemedicine in personalized prevention of cardiovascular diseases (CVD): A systematic review G Battineni, GG Sagaro, N Chintalapudi, F Amenta Journal of Personalized Medicine 11 (7), 658, 2021 | 53 | 2021 |
| Factors affecting digital education during COVID-19: A statistical modeling approach M Arora, LM Goyal, N Chintalapudi, M Mittal 2020 5th International Conference on Computing, Communication and Security …, 2020 | 52 | 2020 |
| Cloud-based framework to mitigate the impact of COVID-19 on seafarers’ mental health M Mittal, G Battineni, LM Goyal, B Chhetri, SV Oberoi, N Chintalapudi, ... International maritime health 71 (3), 213-214, 2020 | 44 | 2020 |
| Improved Alzheimer’s disease detection by MRI using multimodal machine learning algorithms G Battineni, MA Hossain, N Chintalapudi, E Traini, VR Dhulipalla, ... Diagnostics 11 (11), 2103, 2021 | 43 | 2021 |
| Artificial intelligence models in the diagnosis of adult-onset dementia disorders: A review G Battineni, N Chintalapudi, MA Hossain, G Losco, C Ruocco, GG Sagaro, ... Bioengineering 9 (8), 370, 2022 | 33 | 2022 |
| Assessment of awareness and knowledge on novel coronavirus (COVID-19) pandemic among seafarers G Battineni, GG Sagaro, N Chintalapudi, M Di Canio, F Amenta Healthcare 9 (2), 120, 2021 | 33 | 2021 |
| Improved optimization algorithm in LSTM to predict crop yield U Bhimavarapu, G Battineni, N Chintalapudi Computers 12 (1), 10, 2023 | 28 | 2023 |
Gopi Battineni (Ph.D)Post Doc at University of Camerino在 unicam.it 的电子邮件经过验证
