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IoT and ML for information management = a smart healthcare perspective /
Record Type:
Language materials, printed : Monograph/item
Title/Author:
IoT and ML for information management/ edited by Suyel Namasudra.
Reminder of title:
a smart healthcare perspective /
other author:
Namasudra, Suyel.
Published:
Singapore :Springer Nature Singapore : : 2024.,
Description:
xii, 355 p. :ill., digital ; : 24 cm.;
Contained By:
Springer Nature eBook
Subject:
Artificial intelligence - Medical applications. -
Online resource:
https://doi.org/10.1007/978-981-97-5624-7
ISBN:
9789819756247
IoT and ML for information management = a smart healthcare perspective /
IoT and ML for information management
a 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. 50. .
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
Standard No.: 10.1007/978-981-97-5624-7doiSubjects--Topical Terms:
600038
Artificial intelligence
--Medical applications.
LC Class. No.: R859.7.A78 / I68 2024
Dewey Class. No.: 610.28563
IoT and ML for information management = a smart healthcare perspective /
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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.
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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.
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Intelligent Technologies and Robotics (SpringerNature-42732)
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