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RT Book, Whole SR Electronic DC OPAC T1 Machine Learning for Critical Internet of Medical Things : Applications and Use Cases / edited by Fadi Al-Turjman, Anand Nayyar A1 Al-Turjman, Fadi A1 Nayyar, Anand A1 SpringerLink (Online service) YR 2022 FD 2022 SP X, 261 p. 89 illus., 79 illus. in color K1 Cooperating objects (Computer systems) K1 Artificial intelligence K1 Medical informatics K1 Telecommunication K1 Biomedical engineering K1 Cyber-Physical Systems K1 Artificial Intelligence K1 Health Informatics K1 Communications Engineering, Networks K1 Biomedical Engineering and Bioengineering ED 1st ed. 2022. PB Springer International Publishing : Imprint: Springer PP Cham SN 9783030809287 LA English (英語) CL LCC:TK7895.E42 CL LCC:TK5105.8857 CL DC23:621.38 NO 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 NO This book discusses the applications, challenges, and future trends of machine learning in medical domain, including both basic and advanced topics. The book presents how machine learning is helpful in smooth conduction of administrative processes in hospitals, in treating infectious diseases, and in personalized medical treatments. The authors show how machine learning can also help make fast and more accurate disease diagnoses, easily identify patients, help in new types of therapies or treatments, model small-molecule drugs in pharmaceutical sector, and help with innovations via integrated technologies such as artificial intelligence as well as deep learning. The authors show how machine learning also improves the physician’s and doctor’s medical capabilities to better diagnosis their patients. This book illustrates advanced, innovative techniques, frameworks, concepts, and methodologies of machine learning that will enhance the efficiency and effectiveness of the healthcare system. Provides researchers in machine and deep learning with a conceptual understanding of various methodologies of implementing the technologies in medical areas; Discusses the role machine learning and IoT play into locating different virus and diseases across the globe, such as COVID-19, Ebola, and cervical cancer; Includes fundamentals and advances in machine learning in the medical field, supported by significant case studies and practical applications NO HTTP:URL=https://doi.org/10.1007/978-3-030-80928-7 NO 書誌ID=EB00002334; LK [E Book]https://doi.org/10.1007/978-3-030-80928-7 OL 30