Disease Prediction Using Machine Learning, Deep Learning and Data Analytics
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| Title: | Disease Prediction Using Machine Learning, Deep Learning and Data Analytics |
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| Description: | 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 researchThe book is a resource for learners and professionals in healthcare service training programs and health administration departments. |
| Authors: | Geeta, Rani, Vijaypal, Singh Dhaka, Pradeep, Kumar Tiwari |
| Resource Type: | eBook. |
| Subjects: | Deep learning (Machine learning), Machine learning, Medical care--Data processing |
| Categories: | COMPUTERS / Data Science / Machine Learning, COMPUTERS / Artificial Intelligence / General, MEDICAL / Allied Health Services / Medical Technology |
| Database: | eBook Collection (EBSCOhost) |
| Abstract: | 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 researchThe book is a resource for learners and professionals in healthcare service training programs and health administration departments. |
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| ISBN: | 9789815179132 9789815179125 |
