Applications of Artificial Intelligence in E-Healthcare Systems - Couverture rigide

Couverture rigide

ISBN 10 : 1839534494 ISBN 13 : 9781839534492

Editeur : Institution of Engineering and Technology, 2022

Synopsis

Artificial intelligence (AI) is the simulation of intelligent processes using computer systems. Specialised software for writing and training machine learning algorithms is developed by providing a system with large amounts of labelled training data, analysing the data for correlations and patterns, and using these patterns to make predictions about future states. For example, an image recognition tool can learn to identify and describe objects in images by reviewing millions of examples (eg. cancerous tissues in scans). AI programming focuses on three cognitive skills: learning, reasoning and self-correction.

This book is about the novel applications of AI in e-healthcare, It includes various real-time/offline applications and case studies showcasing modern AI tools & technologies. The main objective of this book is to help with effective use of AI by describing innovative case studies and finding the scope for improvement across healthcare services.

A propos du livre

À propos des auteurs

Munish Sabharwal is a professor and the dean of the School of Computing Science and Engineering at Galgotias University, India. He is a member of numerous engineering societies spanning USA, Singapore, India, and China and a fellow of the Centre for Education Growth and Research (India) and of the Institute of Electronics and Telecommunication Engineers (India). His research interests include Artificial Intelligence, Machine Learning, Biometrics, and E-Banking.

B. Balamurugan Balusamy is an associate Dean-Student Engagement at Shiv Nadar University, Delhi-National Capital Region (NCR), India. He is a previous recipient of the IBM Developer Superstar Award and the CSC-VIT Best Faculty Coordinator Award. His current research interests include Internet of Things technologies and blockchain applications for healthcare. He is a member of Association for Computing Machinery, the Computer Society of India, and the International Association of Engineers.

S. Rakesh Kumar is an assistant professor of Computer Science at Galgotias University, India. His research interests include big data analytics, Internet of Things technologies, artificial intelligence and machine learning. He is a member of Association for Computing Machinery, the Computer Society of India, and the International Association of Engineers.

N. Gayathri is an associate professor of Computer Science and Engineering at Galgotias University, India. She is a member of Association for Computing Machinery, the Computer Society of India, and the International Association of Engineers.

Shakhzod Suvanov is a lecturer and research scholar in the Faculty of Digital Technologies at Samarkand State University, Uzbekistan. His research interests include machine learning, artificial neural network, mathematical modeling, and dynamical systems.

Détails de l'édition

• Éditeur: Institution of Engineering and Technology
• Date d'édition: 2022
• Langue: anglais
• ISBN 10: 1839534494
• ISBN 13: 9781839534492
• Reliure: Relié
• Nombre de pages: 306
• Éditeur: Sabharwal Munish, Balusamy B. Balamurugan, Rakesh Kumar S., Gayathri N., Suvanov Shakhzod
• Coordonnées du fabricant: non disponible
• Personne responsable: non disponible