<P>This book discusses research&nbsp;in <EM>Artificial Intelligence for the Internet of Health Things</EM>. It investigates and explores the possible applications of machine learning, deep learning, soft computing, and evolutionary computing techniques in design, implementation, and optimization of challenging healthcare solutions.&nbsp;This book features&nbsp;a wide range of topics such as AI techniques, IoT, cloud, wearables, and secured data transmission. Written for a broad audience, this book will be useful for clinicians, health professionals, engineers, technology developers, IT consultants, researchers, and students interested in the AI-based healthcare applications.</P>
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<LI>Provides a deeper understanding of key AI algorithms and their use and implementation within the wider healthcare sector </LI>
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<LI>Explores different disease diagnosis models using machine learning, deep learning, healthcare data analysis, including machine learning, and data mining and soft computing algorithms </LI>
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<LI>Discusses detailed IoT, wearables, and cloud-based disease diagnosis model for intelligent systems and healthcare </LI>
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<LI>Reviews different applications and challenges across the design, implementation, and management of intelligent systems and healthcare data networks </LI>
<LI>Introduces a new applications and case studies across all areas of AI in healthcare data</LI>
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<P>K. Shankar (Member, IEEE) is a Postdoctoral Fellow of the Department of Computer Applications, Alagappa University, Karaikudi, India. </P>
<P>Eswaran Perumal is an Assistant Professor of the Department of Computer Applications, Alagappa University, Karaikudi, India. </P>
<P>Dr. Deepak Gupta is an Assistant Professor of the Department Computer Science ' Engineering, Maharaja Agrasen Institute of Technology (GGSIPU), Delhi, India. </P>