Téléchargez le livre : Artificial Intelligence and Machine Learning in Public Healthcare

Artificial Intelligence and Machine Learning in Public Healthcare

Opportunities and Societal Impact de

,

Éditeur :

Springer


Paru le : 2022-01-01

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Description
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.
Pages
74 pages
Collection
n.c
Parution
2022-01-01
Marque
Springer
EAN papier
9789811667671
EAN PDF
9789811667688
Informations sur l'ebook
Nombre pages copiables
0
Nombre pages imprimables
7
Taille du fichier
2304 Ko
Prix
73,84 €
EAN EPUB
9789811667688
Informations sur l'ebook
Nombre pages copiables
0
Nombre pages imprimables
7
Taille du fichier
9595 Ko
Prix
73,84 €

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