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IoT and ML for information managementa smart healthcare perspective /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	IoT and ML for information managementedited by Suyel Namasudra.
其他題名:	a smart healthcare perspective /
其他作者:	Namasudra, Suyel.
出版者:	Singapore :Springer Nature Singapore :2024.
面頁冊數:	xii, 355 p. :ill., digital ;24 cm.
Contained By:	Springer Nature eBook
標題:	Artificial intelligenceMedical applications.
電子資源:	https://doi.org/10.1007/978-981-97-5624-7
ISBN:	9789819756247$q(electronic bk.)

IoT and ML for information managementa smart healthcare perspective /
IoT and ML for information managementa smart healthcare perspective /[electronic resource] :edited by Suyel Namasudra. - Singapore :Springer Nature Singapore :2024. - xii, 355 p. :ill., digital ;24 cm. - Studies in computational intelligence,v. 11691860-9503 ;. - Studies in computational intelligence ;v. 216..

Introduction to Internet of Things -- Introduction to Machine Learning -- IoT and Machine Learning in Smart Healthcare -- Security, Privacy, and Trust Management of IoT and Machine Learning-based Smart Healthcare System -- Machine Learning for Smart Healthcare Management Using IoT -- e-Healthcare Data Management Using Machine Learning and IoT -- Machine Learning and IoT in Precision Healthcare -- Machine Learning and IoT in Health 4.0 -- Smart Healthcare System by Using IoT and Machine Learning -- Predicting and Diagnosis of COVID-19 based on IoT and Machine Learning Algorithm -- Novel Scheme for Managing e-Healthcare Data Using IoT and Cloud Computing -- Lightweight Machine Learning-based Authentication Model for Smart Healthcare System -- Research Challenges and Future Work Directions inSmart Healthcare using IoT and Machine Learning.

This book discusses the roles of the Internet of Things (IoT) and machine learning (ML) in smart health care, including the integration of cloud computing with IoT and ML for managing healthcare data. It presents the fundamentals and many applications of IoT and ML in different areas of smart health care. It deliberates upon security and privacy issues, including trust concerns about smart healthcare systems based on IoT and ML algorithms. This book is concluded by discussing challenges and future work directions in smart health care using IoT and ML, and it serves as a reference resource for researchers and practitioners in academia and industry.

ISBN: 9789819756247$q(electronic bk.)

Standard No.: 10.1007/978-981-97-5624-7doiSubjects--Topical Terms:

237917
Artificial intelligence
--Medical applications.

LC Class. No.: R859.7.A78 / I68 2024

Dewey Class. No.: 610.28563

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