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Machine Learning for Critical Internet of Medical Things : Applications and Use Cases / edited by Fadi Al-Turjman, Anand Nayyar

データ種別	電子ブック
版	1st ed. 2022.
出版者	(Cham : Springer International Publishing : Imprint: Springer)
出版年	2022
大きさ	X, 261 p. 89 illus., 79 illus. in color : online resource
著者標目	Al-Turjman, Fadi editor Nayyar, Anand editor SpringerLink (Online service)

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URL	巻　次	配架場所	請求記号	登録番号	コメント	刷　年	状　態	利用注記	ISBN	予約	請求メモ
URL		射水-電子	007	EB0002946	Computer Scinece R0 2005-6,2022-3				9783030809287

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一般注記	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 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 HTTP:URL=https://doi.org/10.1007/978-3-030-80928-7
件　名	LCSH:Cooperating objects (Computer systems) LCSH:Artificial intelligence LCSH:Medical informatics LCSH:Telecommunication LCSH:Biomedical engineering FREE:Cyber-Physical Systems FREE:Artificial Intelligence FREE:Health Informatics FREE:Communications Engineering, Networks FREE:Biomedical Engineering and Bioengineering
分　類	LCC:TK7895.E42 LCC:TK5105.8857 DC23:621.38
書誌ID	EB00002334
ISBN	9783030809287