Disease Prediction using Machine Learning, Deep Learning and Data Analytics

Disease Prediction using Machine Learning, Deep Learning and Data Analytics
Author :
Publisher : Bentham Science Publishers
Total Pages : 196
Release :
ISBN-10 : 9789815179132
ISBN-13 : 9815179136
Rating : 4/5 (136 Downloads)

Book Synopsis Disease Prediction using Machine Learning, Deep Learning and Data Analytics by : Geeta Rani, Vijaypal Singh Dhaka, Pradeep Kumar Tiwari

Download or read book Disease Prediction using Machine Learning, Deep Learning and Data Analytics written by Geeta Rani, Vijaypal Singh Dhaka, Pradeep Kumar Tiwari and published by Bentham Science Publishers. This book was released on 2024-03-07 with total page 196 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is a comprehensive review of technologies and data in healthcare services. It features a compilation of 10 chapters that inform readers about the recent research and developments in this field. Each chapter focuses on a specific aspect of healthcare services, highlighting the potential impact of technology on enhancing practices and outcomes. The main features of the book include 1) referenced contributions from healthcare and data analytics experts, 2) a broad range of topics that cover healthcare services, and 3) demonstration of deep learning techniques for specific diseases. Key topics: - Federated learning in analysis of sensitive healthcare data while preserving privacy and security. - Artificial intelligence for 3-D bone image reconstruction. - Detection of disease severity and creating personalized treatment plans using machine learning and software tools - Case studies for disease detection methods for different disease and conditions, including dementia, asthma, eye diseases - Brain-computer interfaces - Data mining for standardized electronic health records - Data collection, management, and analysis in epidemiological research The book is a resource for learners and professionals in healthcare service training programs and health administration departments. Readership Learners and professionals in healthcare service training programs and health administration departments.


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