國立虎尾科技大學 |

Machine Learning for Critical Internet of Medical Things = Applications and Use Cases /

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Machine Learning for Critical Internet of Medical Things/ edited by Fadi Al-Turjman, Anand Nayyar.
其他題名:	Applications and Use Cases /
其他作者:	Nayyar, Anand.
面頁冊數:	X, 261 p. 89 illus., 79 illus. in color.online resource. :
Contained By:	Springer Nature eBook
標題:	Biomedical Engineering and Bioengineering. -
電子資源:	https://doi.org/10.1007/978-3-030-80928-7
ISBN:	9783030809287

Machine Learning for Critical Internet of Medical Things = Applications and Use Cases /
Machine Learning for Critical Internet of Medical ThingsApplications and Use Cases /[electronic resource] :edited by Fadi Al-Turjman, Anand Nayyar. - 1st ed. 2022. - X, 261 p. 89 illus., 79 illus. in color.online resource.

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.

ISBN: 9783030809287

Standard No.: 10.1007/978-3-030-80928-7doiSubjects--Topical Terms:

1211019
Biomedical Engineering and Bioengineering.

LC Class. No.: TK7895.E42

Dewey Class. No.: 621.38

Machine Learning for Critical Internet of Medical Things = Applications and Use Cases /
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