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AI and IoT-Based intelligent health care and sanitation

Record Type:	Electronic resources : Monograph/item
Title/Author:	AI and IoT-Based intelligent health care and sanitationedited by Shashank Awasthi ... [et al.]
other author:	Awasthi, Shashank.
Published:	Singapore :Bentham Science,2023.
Description:	1 online resource.
Subject:	Artificial intelligence.
Online resource:	https://www.eurekaselect.com/ebook_volume/3488
ISBN:	9789815136531$q(Online)

AI and IoT-Based intelligent health care and sanitation
AI and IoT-Based intelligent health care and sanitation[electronic resource] /edited by Shashank Awasthi ... [et al.] - 1st ed. - Singapore :Bentham Science,2023. - 1 online resource.

Includes bibliographical references and index.

The book aims to provide a deeper understanding of the synergistic impact of Artificial intelligence (AI) and the Internet of Things (IoT) for disease detection. It presents a collection of topics designed to explain methods to detect different diseases in humans and plants. Chapters are edited by experts in IT and machine learning, and are structured to make the volume accessible to a wide range of readers. Key Features: - 17 Chapters present information about the applications of AI and IoT in clinical medicine and plant biology - Provides examples of algorithms for heart diseases, Alzheimer’s disease, cancer, pneumonia and more - Includes techniques to detect plant disease - Includes information about the application of machine learning in specific imaging modalities - Highlights the use of a variety of advanced Deep learning techniques like Mask R-CNN - Each chapter provides an introduction and literature review and the relevant protocols to follow The book is an informative guide for data and computer scientists working to improve disease detection techniques in medical and life sciences research. It also serves as a reference for engineers working in the healthcare delivery sector.

ISBN: 9789815136531$q(Online)Subjects--Topical Terms:

194058
Artificial intelligence.

LC Class. No.: R859

Dewey Class. No.: 362.10285

National Library of Medicine Call No.: W 26.55.A7

AI and IoT-Based intelligent health care and sanitation
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245 0 0 $a AI and IoT-Based intelligent health care and sanitation $h [electronic resource] / $c edited by Shashank Awasthi ... [et al.]
250 $a 1st ed.
260 $a Singapore : $b Bentham Science, $c 2023.
300 $a 1 online resource.
504 $a Includes bibliographical references and index.
520 $a The book aims to provide a deeper understanding of the synergistic impact of Artificial intelligence (AI) and the Internet of Things (IoT) for disease detection. It presents a collection of topics designed to explain methods to detect different diseases in humans and plants. Chapters are edited by experts in IT and machine learning, and are structured to make the volume accessible to a wide range of readers. Key Features: - 17 Chapters present information about the applications of AI and IoT in clinical medicine and plant biology - Provides examples of algorithms for heart diseases, Alzheimer’s disease, cancer, pneumonia and more - Includes techniques to detect plant disease - Includes information about the application of machine learning in specific imaging modalities - Highlights the use of a variety of advanced Deep learning techniques like Mask R-CNN - Each chapter provides an introduction and literature review and the relevant protocols to follow The book is an informative guide for data and computer scientists working to improve disease detection techniques in medical and life sciences research. It also serves as a reference for engineers working in the healthcare delivery sector.
588 $a Description based on print version record.
650 0 $a Artificial intelligence. $3 194058
650 0 $a Internet of things. $3 670954
650 2 2 $a Artificial Intelligence. $3 212515
650 2 2 $a Internet of Things. $3 913131
650 0 $a Delivery of Health Care. $3 503959
700 1 $a Awasthi, Shashank. $3 908502
856 4 0 $u https://www.eurekaselect.com/ebook_volume/3488