Machine Learning for Critical Internet of Medical Things

Introduction.- An Introduction to Basic Concepts on Machine Learning, its architecture and framework.- Machine Learning Models and techniques.- Diseases diagnosis and prediction using Machine Learning.- Machine learning for Mobile/e-health, Tele-medical and Remote healthcare networks.- Machine learning in biomedical, Neuro-critical and medical image processing field.- AI, Deep learning and machine learning enabled connected health informatics.- Machine learning enabled smart healthcare system.- Machine learning based efficient health monitoring systems.- Machine learning case study for virus disease Ebola, COVID-19 consequences.- CASE Study: Machine Learning in Medical domain for Cervical Cancer.- Use cases and applications of machine learning in medical domain.- Conclusion.

Prof. Dr. Fadi Al-Turjman received his Ph.D. in computer science from Queen's University, Kingston, Ontario, Canada, in 2011. He is a full professor and a research center director at Near East University, Nicosia, Cyprus. Prof. Al-Turjman is a leading authority in the areas of smart/intelligent, wireless, and mobile networks' architectures, protocols, deployments, Multimedia analysis and performance evaluation. His publication history spans over 250 publications in journals, conferences, patents, books, and book chapters, in addition to numerous keynotes and plenary talks at flagship venues. He has authored and edited more than 25 books about cognition, security, and wireless sensor networks' deployments in smart environments, published by Taylor and Francis, Elsevier, and Springer. He has received several recognitions and best papers' awards at top international conferences. He also received the prestigious Best Research Paper Award from Elsevier Computer Communications Journal for the period 2015-2018, in addition to the Top ResearcherAward for 2018 at Antalya Bilim University, Turkey. Prof. Al-Turjman has led a number of international symposia and workshops in flagship communication society conferences. Currently, he serves as an associate editor and the lead guest/associate editorfor several well reputed journals, including the IEEE Communications Surveys and Tutorials(IF 22.9)and the Elsevier Sustainable Cities and Society(IF 4.7).