Deep Learning for Medical Decision Support Systems

UtkuKose received his PhD degree in Computer Engineeringfrom Selcuk University, Turkey, in 2017. Currently, he is an Associate Professor at SuleymanDemirel University, Turkey. With more than 100 publications to his credit, his research interests include artificial intelligence, machine ethics, artificial intelligence safety, optimization, chaos theory, distance education, e-learning, computer education, and computer science.Omer Deperlioglu received his PhD in Computer Science from Gazi University, Turkey, in 2001. Currently, he is an Associate Professor of Computer Programming, Afyon Vocational School, Afyon Kocatepe University, Turkey. His research interests include various aspects of artificial intelligence applied to power electronics, biomedical and signal processing.  Jafar Alzubi received his PhD in Advanced Telecommunications Engineering from Swansea University, UK, in 2012. He is currently an Associate Professor at the Computer Engineering Department, Al-Balqa Applied University, Jordan. His research focuses on elliptic curves cryptography and cryptosystems, and classifications and detection of web scams using Algebraic–Geometric theory in channel coding for wireless networks. He is currently working jointly with Wake Forest University, NC, USA, as a Visiting Associate Professor. Bogdan Patrut received his two PhDs, respectively, from “AlexandruIoanCuza” University of Iasi, Romania (2007, in Accounting and Business Information Systems), and Babes-Bolyai University of Cluj-Napoca, Romania (2008, in Computer Science). Currently, he is a Lecturer at the Faculty of Computer Science, “AlexandruIoanCuza” University of Iasi. He is also the Director of EduSoft Ltd., Bacau, Romania. His research interests include multi-agent systems applied in accounting education, and computer science applied in thesocial and political sciences. He has published or edited over 25 books on programming, algorithms, artificial intelligence, interactive education, and social media, including Social Media and the New Academic Environment and Social Media in Higher Education.

• Deep Learning for Innovative Medical Decision Support.- Deep Learning and Image Analysis for Medical Decision Support.- Deep Learning Oriented Systems for Medical Education.- Hybrid Deep Systems for Medical Education and Decision Support.

“It covers several interesting applications of deep learning in medicine … . the book can be a helpful addition to a researcher interested in a general overview of how deep learning can be applied to some medical decision systems.” (Anita T. Layton, SIAM Review, Vol. 63 (4), December, 2021)