Advances in smart healthcare systems (SHS) and artificial intelligence (AI) domains highlight the need for ICT systems that aim not only to improve human quality of life but improve safety too. SHS bring together concepts and methodologies from various fields, such as communications and network systems, computer science, life sciences and healthcare. The well-known smart healthcare paradigms are; real-time monitoring devices, computer-aided surgery devices, telemedicine devices, population-based care devices, personalized medicine from a machine learning perspective, ubiquities intelligent computing, expert decision support systems, Health 2.0 and Internet of Things (IoT).
This book presents models for the deployment of intelligent computing, information, and networking technologies to aid in preventing disease, improving the quality of care and lowering overall cost. It also discusses the potential role of the AI paradigms, computational intelligence and machine learning techniques which are used in developing the SHS. It will provide examples of potential usage of such technology in smart healthcare and and bio-medical systems.
It will be an important read for researchers and professionals working in smart healthcare systems, as well as those working in the individual areas of networks, artificial intelligence and healthcare who want to see how an interdisciplinary approach can enhance the current technology.
About the Author: Prof. Abdel-Badeeh M. Salem is a full Professor of Computer Science since 1989 at Ain Shams University, Egypt. His research includes intelligent computing, biomedical informatics, big data analytics, intelligent education and smart learning systems, information mining, knowledge engineering and biometrics. He is founder of the Artificial Intelligence and Knowledge Engineering Research Labs, Ain Sham University, Cairo, Egypt & Chairman of Working Group on Bio-Medical Informatics, ISfTeH, Belgium. He is a member of the Editorial Board of 50 international and national journals, and has published 105 indexed papers.
