 | Artificial Intelligence for Disease Diagnosis and Prognosis in Smart Healthcare Subjects: Computer Science; Engineering & Technology; Algorithms & Complexity; Artificial Intelligence; Computation; Legal Ethical & Social Aspects of IT; Systems & Control Engineering; Automation; Cognitive Artificial Intelligence.; Human Computer Intelligence; Machine Learning - Design; Robotics; Privacy & Data Protection; Machine Learning; Artificial Intelligence (AI) in general and machine learning (ML) and deep learning (DL) in particular and related digital technologies are a couple of fledging paradigms that the next generation healthcare services are sprouting towards. These digital technologies can transform various aspects of healthcare, leveraging advances in computing and communication power. With a new spectrum of business opportunities, AI-powered healthcare services would improve the lives of patients, their families, and societies. However, the application of AI in the healthcare field requires special attention given the direct implication with human life and well-being. Rapid progress in AI leads to the possibility of exploiting healthcare data for designing practical tools for automated diagnosis of chronic diseases such as dementia and diabetes. This book highlights the current research trends in applying AI models in various disease diagnoses and prognoses to provide enhanced healthcare solutions. The primary audience of the book will be postgraduate students and researchers in the broad domain of healthcare technologies. Ghita Kouadri Mostefaoui is currently an Associate Professor at the Department of Computer Science, University College London. Her current teaching includes programming, computer architecture, and software engineering. She received her PhD in computer science from both the University of Fribourg, Switzerland and Université Pierre et Marie Curie (Paris 6). Ghita is a Fellow of the Higher Education Academy. S. M. Riazul Islam has been working as an Assistant Professor at the Department of Computer Science and Engineering, Sejong University, South Korea, since March 2017. He received his Ph.D. degree in Information and Communication Engineering from Inha University, South Korea in 2012. His research interests include the internet of things (IoT) and applied artificial intelligence (AI). He has authored more than 100 publications in peer-reviewed international journals. Faisal Tariq is currently a Senior Lecturer at the James Watt School of Engineering, University of Glasgow, United Kingdom. He received his PhD degree from The Open University, UK. His research interests include applications of Artificial Intelligence (AI) and Machine Learning (ML) in various domains including smart wireless communications, healthcare technology, cyber security and intelligent internet of Things (IIoT). He is a senior member of IEEE and fellow of the Higher Education Academy. |
