Gopi Battineni
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Gopi Battineni is a researcher at University of Camerino in Camerino, Italy. He recently joined a post-doctoral position for the Marche Biobank Project at the School of Medicinal and Health Science Products in a clinical research laboratory in December 2021 to develop research based on simulation. He was previously a doctoral student at the University of Camerino (2017-2020), where he conducted research on Telemedicine, Alzheimer’s disease prediction using Machine Learning models, Epidemic modelling, and the development of ICT frameworks for seafarers. He worked with Nalini Chintalapudi and Getu Gamo Sagaro and under the direction of Francesco Amenta.
Research[edit]
His research focuses more generally on MRI image classification and AD prediction using demographic data with help of ML modeling..[1][2]
He recently co-authored " Improved Alzheimer’s Disease Detection by MRI Using Multimodal Machine Learning Algorithms.[3]
In the field of Telehealth, in 2021 he co-wrote with Getu Gamo Sagaro, Giulio Nittari, Nalini Chintalapudi, Graziano Pallotta and and Francesco Amenta the book chapter "Telehealth and Pharmacological Strategies of COVID-19 Prevention: Current and Future Developments.[4]
He was chair of the ICAART 2020 at Malta[5], general chair of Bioimaging 2021[6]. He is a member of the guest editorial board of Journal of Personalized Medicine Journal, MDPI journal[7]
Publications[edit]
His most cited publications are:
- Nalini Chintalapudi, Gopi Battineni, Francesco Amenta. COVID-19 virus outbreak forecasting of registered and recovered cases after a sixty-day lockdown in Italy: A data-driven model approach. COVID-19. 2020 Jun;53(3):396-403. According to Google Scholar, this article has been cited 179 times[8]
- Giulio Nittari, Ravjyot Khuman, Simone Baldoni, Graziano Pallotta, Gopi Battineni, Ascanio Sirignano, Francesco Amenta, Giovanna Ricci. Telemedicine Practice: Review of the Current Ethical and Legal Challenges. Telemedicine. 2020 December;26(12):1427-1437. According to Google Scholar, this article has been cited 93 times[8]
- Gopi Battineni, Nalini Chintalapudi, Francesco Amenta. Machine learning in medicine: Performance calculation of dementia prediction by support vector machines (SVM). Machine Learning. 2019 June;16. According to Google Scholar, this article has been cited 59 times[8]
References[edit]
- ↑ Battineni, Gopi.; Chintalapudi, Nalini.; Amenta, Francesco. (June 2019). "Machine learning in medicine: Performance calculation of dementia prediction by support vector machines (SVM)". Informatics in Medicine Unlocked. 16: 100200. doi:10.1016/j.imu.2019.100200. ISSN 2352-9148. Unknown parameter
|s2cid=ignored (help) - ↑ Battineni, Gopi.; Chintalapudi, Nalini.; Amenta, Francesco.; Traini, Enea. (July 2020). "A Comprehensive Machine-Learning Model Applied to Magnetic Resonance Imaging (MRI) to Predict Alzheimer's Disease (AD) in Older Subjects". Journal of Clinical Medicine. 9 (7): 2146. doi:10.3390/jcm9072146. ISSN 2077-0383. PMC 7408873 Check
|pmc=value (help). PMID 32650363 Check|pmid=value (help). - ↑ Battineni, Gopi.; A.H, Mohmmad.; Chintalapudi, Nalini.; Traini, Enea.; Dhulipalla, Venkata Rao.; Ramasamy, Mariappan.; Amenta, Francesco. (November 2021). "Improved Alzheimer's Disease Detection by MRI Using Multimodal Machine Learning Algorithms". Diagnostics. 11 (11): 2103. doi:10.3390/diagnostics11112103. ISSN 2075-4418. PMC 8623867 Check
|pmc=value (help). PMID 34829450 Check|pmid=value (help). - ↑ Battineni, Gopi.; Nittari, Giulio.; Pallotta, Graziano.; G.S, Getu.; Chintalapudi, Nalini.; Amenta, Francesco. (November 2021). "Telehealth and Pharmacological Strategies of COVID-19 Prevention: Current and Future Developments". Modeling, Control and Drug Development for COVID-19 Outbreak Prevention. Springer. pp. 897–927. doi:10.1007/978-3-030-72834-2_26. ISBN 978-3-030-72834-2. Unknown parameter
|s2cid=ignored (help) Search this book on
- ↑ Battineni, Gopi. (Feb 2020). Comparative Machine Learning Approach in Dementia Patient Classification using Principal Component Analysis. ICAART 2020.
- ↑ Battineni, Gopi. (Feb 2021). Deep Learning Type Convolution Neural Network Architecture for Multiclass Classification of Alzheimer's Disease. BIOSTEC 2021.
- ↑ Battineni, Gopi. "Special Issue "Digital Health and Telemedicine: Their Contribution to Personalized and Precision Medicine"". Journal of Personalized Medicine.
- ↑ 8.0 8.1 8.2 [1] Google Scholar Author page, Accessed December 10, 2021.
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