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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