Role of internet of things and machine earning in smart healthcare

Contributor(s):

Namasudra, Suyel [Editor]

Material type: Text

TextPublication details: London Elsevier 2025Description: xiv, 381 pISBN:

9780443223860

Subject(s):

DDC classification:

610.285 NAM

Summary: Role of Internet of Things and Machine Learning in Smart Healthcare, Volume 137 of the Advances in Computers series, presents detailed coverage of innovations in computer hardware, software, theory, design, and applications. Published since 1960, this series provides contributors with a medium to explore their subjects in greater depth and breadth than typical journal articles. Additionally, the book discusses the basic concepts of the Internet of Things (IoT) and Machine Learning (ML), along with their various applications in smart healthcare. It proposes novel techniques by integrating IoT, cloud computing, and ML algorithms to efficiently manage e-healthcare data and improve security. The volume also addresses research challenges and probable future directions in smart healthcare using IoT and ML, making it a comprehensive resource for researchers, practitioners, and students interested in advancing healthcare technologies. (https://shop.elsevier.com/books/role-of-internet-of-things-and-machine-learning-in-smart-healthcare/namasudra/978-0-443-22386-0)

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Holdings
Item type	Current library	Collection	Call number	Copy number	Status	Date due	Barcode
Book	Indian Institute of Management LRC General Stacks	Public Policy & General Management	610.285 NAM (Browse shelf(Opens below))	1	Available		009075

Table of contents:
1. Introducing the Internet of Things: Fundamentals, Challenges, and Applications

2. Introduction to Machine Learning: Fundamentals, Algorithms, Challenges, and Applications

3. Revolutionizing Patient Care: The Synergy of IoT and Machine Learning in Smart Healthcare

4. Security, Privacy, and Trust Management of IoT and Machine Learning-based Smart Healthcare Systems

5. Machine Learning-enabled IoT Applications for Smart Healthcare Systems

6. A Smart Healthcare System Using IoT and Machine Learning

7. Predicting and Diagnosis of COVID-19 based on IoT and Machine Learning Algorithm

8. A Novel Scheme for Managing e-Healthcare Data Using IoT and Cloud Computing

9. Improving Security of e-Healthcare Data by Using Machine Learning

10. Research Challenges and Future Work Directions in Smart Healthcare Using IoT and Machine Learning

[https://shop.elsevier.com/books/role-of-internet-of-things-and-machine-learning-in-smart-healthcare/namasudra/978-0-443-22386-0]

Role of Internet of Things and Machine Learning in Smart Healthcare, Volume 137 of the Advances in Computers series, presents detailed coverage of innovations in computer hardware, software, theory, design, and applications. Published since 1960, this series provides contributors with a medium to explore their subjects in greater depth and breadth than typical journal articles. Additionally, the book discusses the basic concepts of the Internet of Things (IoT) and Machine Learning (ML), along with their various applications in smart healthcare. It proposes novel techniques by integrating IoT, cloud computing, and ML algorithms to efficiently manage e-healthcare data and improve security. The volume also addresses research challenges and probable future directions in smart healthcare using IoT and ML, making it a comprehensive resource for researchers, practitioners, and students interested in advancing healthcare technologies.

(https://shop.elsevier.com/books/role-of-internet-of-things-and-machine-learning-in-smart-healthcare/namasudra/978-0-443-22386-0)

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