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[...]with the exception of author Pinky Kain, we no longer have confidence in the conclusions of Figs 2, 3 and 5c, and Supplementary Fig. 5.
Journal Article
Handbook of evaluation methods for health informatics
This Handbook provides a complete compendium of methods for evaluation of IT-based systems and solutions within healthcare. Emphasis is entirely on assessment of the IT-system within its organizational environment. The author provides a coherent and complete assessment of methods addressing interactions with and effects of technology at the organizational, psychological, and social levels.It offers an explanation of the terminology and theoretical foundations underlying the methodological analysis presented here. The author carefully guides the reader through the process of identifying relevant methods corresponding to specific information needs and conditions for carrying out the evaluation study. The Handbook takes a critical view by focusing on assumptions for application, tacit built-in perspectives of the methods as well as their perils and pitfalls. *Collects a number of evaluation methods of medical informatics*Addresses metrics and measures*Includes an extensive list of anotated references, case studies, and a list of useful Web sites
eBook
Artificial intelligence of health-enabled spaces
\"Artificial Intelligence of Health-Enabled Spaces (AIoH) has made revolutionary advances in clinical studies that we know so far. Among these advances, intelligent and medical services are gaining lots of interest. Nowadays, AI-powered technologies are not only used in saving lives, but also in our daily life activities in diagnosing, controlling, and even tracking of COVID-19 patients. The AI-powered solutions are expected to communicate with cellular networks smoothly in the next generation networks (5G/6G and beyond) for more effective/critical medical applications. This will open the door for another interesting research areas. This book focuses on the development and analysis of Artificial Intelligence (AI) models applications across multi-disciplines. AI based deep learning models, fuzzy and hybrid intelligent systems, and intrinsic explainable model are also being presented in this book. Some of the fields considered in this smart health-oriented book includes AI applications in Electrical Engineering, Biomedical Engineering, Environmental Engineering, Computer Engineering, Education, Cyber Security, Chemistry, Pharmacy, Molecular Biology, and Tourism. This book is dedicated to addressing the major challenges in fighting diseases and psychological issues using AI. Challenges vary from cost and complexity to availability and accuracy. The aim of this book is hence to focus on both the design and implementation aspects of the AI-based approaches in proposed health-related solutions. Targeted readers are from varying disciplines who are interested in implementing the smart planet/environments vision via intelligent enabling technologies\"-- Provided by publisher.
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