Healthcare and Knowledge Management for Society 5.0 : Trends, Issues, and Innovations

Title: Healthcare and Knowledge Management for Society 5.0 : Trends, Issues, and Innovations
Author: Nilmini Wickramasinghe, Rajdev Tiwari, Raju Ranjan, Sapna Sinha, Vineet Kansal
ISBN: 0367768097 / 9780367768096
Format: Hard Cover
Pages: 311
Publisher: CRC Press
Year: 2022
Availability: 2 to 3 weeks

Tab Article

Healthcare and knowledge management is the need of the era; this book investigates various challenges faced by practitioners in this area. It also covers the work to be done in the healthcare sector and the use of different computing techniques for better insight and decision-making.%u3000

Healthcare and Knowledge Management for Society 5.0: Trends, Issues, and Innovations showcases the benefits of computing techniques used for knowledge management in the field of healthcare in the futuristic perspective of having a human-centric society 5.0. The book includes topics related to the use of technologies like artificial intelligence, machine learning, deep learning, Internet of Things, blockchain, and sensors for effective healthcare and management. Case studies are included for easy comprehension and the book covers the most up-to-date research in the field. The use of techniques like artificial intelligence in the field of knowledge management is also discussed.

This book is intended for researchers and academicians to explore new ideas, techniques, and tools. Researchers working in interdisciplinary research can also find many interesting topics which will pave the way for a new arena in healthcare and knowledge management.

Tab Article

Preface

Chapter 1 : Blockchain Technology for Healthcare
Chapter 2 : Diagnosing Patient Health Conditions and Improving the Patient Experience : An Application of AI and ML
Chapter 3 : Development of Thinking Computer Systems and Machine Learning in Health Care
Chapter 4 : Clinical Decision-Making as a Subset of Decision-Making : Leveraging the Concepts of Decision-Making and Knowledge Management to Characterize Clinical Decision-Making
Chapter 5 : Leveraging Artificial Intelligence in a Human-Centric Society 5.0 : A Health Care Perspective
Chapter 6 : Blockchain-Based Medical Records for the Health Care Industry
Chapter 7 : Blockchain with Corona Virus : Moving Together to Prevent Future Pandemics
Chapter 8 : Computer Assisted Health Care Framework for Breast Cancer Detection in Digital Mammograms
Chapter 9 : Artificial Intelligence and Inpatients' Risk Vulnerability Assessment - Trends, Challenges, and Applications
Chapter 10 : Internet of Gealthcare Things and Block Chain : An Efficient Integration for Smart Health Care Systems
Chapter 11 : Comparative Study of Machine Learning Techniques
Chapter 12 : Comparative Study of Machine Learning Techniques for Breast Cancer Diagnisis
Chapter 13 : Fine-Tuning of Recommender System Using Artificial Intelligence
Chapter 14 : Deep Learning in Health Care
Chapter 15 : Ontology Learning-Based e-Healthcare System
Chapter 16 : A New Method for OTP Generation
Chapter 17 : A Visual Introduction to Machine Learning, AI Framework, and Architecture
Chapter 18 : Evolution of Business Intelligence System : From Ad-Hoc Report to Decision Support System to Data Lake Based BI 3.0
Chapter 19 : Novel Deep-Learning Approaches for Future Computing Applications and Services

Index