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  3. Machine learning

Artificial Intelligence and Machine Learning in Public Healthcare

- Opportunities and Societal Impact
Af: KC Santosh, Loveleen Gaur Engelsk Paperback

Artificial Intelligence and Machine Learning in Public Healthcare

- Opportunities and Societal Impact
Af: KC Santosh, Loveleen Gaur Engelsk Paperback
Tjek vores konkurrenters priser
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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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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Produktdetaljer
Sprog: Engelsk
Sider: 74
ISBN-13: 9789811667671
Indbinding: Paperback
Udgave:
ISBN-10: 9811667675
Kategori: Machine learning
Udg. Dato: 27 nov 2021
Længde: 0mm
Bredde: 155mm
Højde: 235mm
Forlag: Springer Verlag, Singapore
Oplagsdato: 27 nov 2021
Forfatter(e): KC Santosh, Loveleen Gaur
Forfatter(e) KC Santosh, Loveleen Gaur

Kategori Machine learning

ISBN-13 9789811667671

Sprog Engelsk

Indbinding Paperback

Sider 74

Udgave

Længde 0mm

Bredde 155mm

Højde 235mm

Udg. Dato 27 nov 2021

Oplagsdato 27 nov 2021

Forlag Springer Verlag, Singapore

Kategori sammenhænge