Computational Methods and Algorithms for Medicine and Optimized Clinical Practice

As the healthcare industry continues to expand, it must utilize technology to ensure efficiencies are maintained. Healthcare needs to move in a direction where computational methods and algorithms can relieve the routine work of medical doctors, leaving them more time to carry out more important and skilled tasks such as surgery. Computational Methods and Algorithms for Medicine and Optimized Clinical Practice discusses some of the most interesting aspects of theoretical and applied research covering complementary facets of computational methods and algorithms to achieve greater efficiency and support medical personnel. Featuring research on topics such as healthcare reform, artificial intelligence, and disease detection, this book will particularly appeal to medical professionals and practitioners, hospitals, administrators, students, researchers, and academicians.

Kwok Tai Chui received the B.Eng. degree in Electronic and Communication Engineering Business Intelligence Minor, with first-class honor, from City University of Hong Kong in 2013, where he is a Ph.D. candidate and is fully completed at the winter in 2017. He was the recipient of international awards in several IEEE events. For instance, he received the 2nd Prize Award (Postgraduate Category) of 2014 IEEE Region 10 Student Paper Contest, and Best Paper Award in IEEE The International Conference on Consumer Electronics-China, in both 2014 and 2015. He has been serving as Guest Editors in Journal of Internet Technology, Managing Editor inInternational Journal on Semantic Web and Information Systemss, International Advisory Board in International Journal of Healthcare Information Systems and Informatics, Editorial Advisory Board in Journal of Science and Technology Policy Management, Associate Editor in International Journal of User-Driven Healthcare and International Journal of Public Health Management and Ethics, Editorial Review Board of 6 journals, Technical Program Committee in The International Conference on Biomedical Engineering and Biotechnology (since 2015), The International Conference on Electronics, Communications and Networks (since 2016) and Wireless Telecommunications Symposium (since 2016).

Miltiadis D. Lytras is Lecturer at the American College of Greece. His research focuses on Semantic Web, knowledge management and e-learning, with many publications in these areas. He has co-edited / co-edits, 25 special issues in international journals (e.g. IEEE Transaction on Knowledge and Data Engineering, IEEE Internet Computing, IEEE Transactions on Education, Computers in Human Behavior, Interactive Learning Environments, Journal of Knowledge Management, Journal of Computer Assisted Learning, etc.).