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.
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
