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Artificial intelligence and machine ...

Gaur, Loveleen.

Artificial intelligence and machine learning in public healthcareopportunities and societal impact /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Artificial intelligence and machine learning in public healthcareby KC Santosh, Loveleen Gaur.
Reminder of title:	opportunities and societal impact /
Author:	Santosh, K. C.
other author:	Gaur, Loveleen.
Published:	Singapore :Springer Nature Singapore :2021.
Description:	xxiii, 74 p. :ill. (some col.), digital ;24 cm.
Contained By:	Springer Nature eBook
Subject:	Artificial intelligenceMedical applications.
Online resource:	https://doi.org/10.1007/978-981-16-6768-8
ISBN:	9789811667688$q(electronic bk.)

Artificial intelligence and machine learning in public healthcareopportunities and societal impact /
Santosh, K. C.

Artificial intelligence and machine learning in public healthcareopportunities and societal impact /[electronic resource] :by KC Santosh, Loveleen Gaur. - Singapore :Springer Nature Singapore :2021. - xxiii, 74 p. :ill. (some col.), digital ;24 cm. - SpringerBriefs in computational intelligence,2625-3712. - SpringerBriefs in computational intelligence..

Introduction to AI in Public Health -- Open Public Health Issues -- AI Solutions to Public Health Issues -- AI in Sustainable Public Healthcare -- AI in Precision Medicine -- Societal Impact: AI in Public Health Issues -- Case Studies - AI for Infectious Disease -- Privacy, Security and Ethical Issues.

This book discusses and evaluates AI and machine learning (ML) algorithms in dealing with challenges that are primarily related to public health. It also helps find ways in which we can measure possible consequences and societal impacts by taking the following factors into account: open public health issues and common AI solutions (with multiple case studies, such as TB and SARS: COVID-19), AI in sustainable health care, AI in precision medicine and data privacy issues. Public health requires special attention as it drives economy and education system. COVID-19 is an example-a truly infectious disease outbreak. The vision of WHO is to create public health services that can deal with abovementioned crucial challenges by focusing on the following elements: health protection, disease prevention and health promotion. For these issues, in the big data analytics era, AI and ML tools/techniques have potential to improve public health (e.g., existing healthcare solutions and wellness services) In other words, they have proved to be valuable tools not only to analyze/diagnose pathology but also to accelerate decision-making procedure especially when we consider resource-constrained regions.

ISBN: 9789811667688$q(electronic bk.)

Standard No.: 10.1007/978-981-16-6768-8doiSubjects--Topical Terms:

237917
Artificial intelligence
--Medical applications.

LC Class. No.: R859.7.A78 / S35 2021

Dewey Class. No.: 610.28563

Artificial intelligence and machine learning in public healthcareopportunities and societal impact /
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