Artificial Intelligence for the Internet of Health Things

This book discusses research of Artificial Intelligence for the Internet of Health Things. 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.

A propos de l'auteur

K. Shankar (Member, IEEE) is a Postdoctoral Fellow of Department of Computer Applications, Alagappa University, Karaikudi, India.
Eswaran Perumal is working as an Assistant Professor of Department of Computer Applications, Alagappa University, Karaikudi, India.
Dr. Deepak Gupta is working as an Assistant Professor of Department Computer Science & Engineering, Maharaja Agrasen Institute of Technology (GGSIPU), Delhi, India.

Résumé

This book discusses research of Artificial Intelligence for the Internet of Health Things. 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.

Détails du produit

• Auteurs: Shankar K., K. Perumal Shankar, Gupta Deepak, Eswaran Perumal, K. Shankar, Deepak Gupta
• Edition: Taylor & Francis Ltd.
• Contenu: Livre
• Forme du produit: Livre Relié
• Date de parution: 30.04.2021
• Catégorie: Sciences naturelles, médecine, it, technique > Informatique, ordinateurs > Informatique; Livres de conseils
• EAN: 9780367744977
• ISBN: 978-0-367-74497-7
• Nombre de pages: 200
• Thème: Biomedical and Robotics Healthcare
• Catégories: TECHNOLOGY & ENGINEERING / Automation, COMPUTERS / Programming / Algorithms, TECHNOLOGY & ENGINEERING / Biomedical, algorithms and data structures, Deep Neural Networks, Algorithms & data structures, Biomedical engineering, Automatic control engineering, medical image analysis, Healthcare Data Analytics, wearable sensor technology, personalized medicine systems, cloud-based diagnostics, intelligent disease detection models