Electronic Resource

Artificial Intelligence and Machine Learning in Public Healthcare

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Penilaian

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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.

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Availability

Inventory Code	Barcode	Call Number	Location	Status
1908000871	EB0001461	610.285 63 San a	Central Library (OPAC)	Available

Detail Information

Series Title

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Call Number

610.285 63 San a

Publisher

Singapore : Springer Singapore., 2022

Collation

xxiii, 74p.:Ill

Language

English

ISBN/ISSN

978-981-16-6768-8

Classification

610.285 63

Content Type

Ebook

Media Type

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Carrier Type

online resource

Edition

1

Subject(s)

Machine Learning

Specific Detail Info

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Statement of Responsibility

BRF

Other version/related

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