Artificial Intelligence for the Internet of Health Things

<p>This book discusses research 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. This book features 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><ul> <p> </p> <li>Provides a deeper understanding of key AI algorithms and their use and implementation within the wider healthcare sector </li> <p> </p> <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> <p> </p> <li>Discusses detailed IoT wearables and cloud-based disease diagnosis model for intelligent systems and healthcare </li> <p> </p> <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> </ul><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>