9789811667671 - artificial intelligence and machine learning in public healthcare: opportunities and societal impact di santosh, kc; gaur, loveleen (14 risultati)
Lingua: Inglese
Editore: Springer, 2021
Serie: Libro 1 di 1 - SpringerBriefs in Applied Sciences and Technology
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Editore: Springer 2021-11, 2021
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Lingua: Inglese
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Condizione: New. 1st ed. 2021 edition NO-PA16APR2015-KAP.
Lingua: Inglese
Editore: Springer, 2021
Serie: Libro 1 di 1 - SpringerBriefs in Applied Sciences and Technology
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Lingua: Inglese
Editore: Springer, 2021
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Lingua: Inglese
Editore: Springer, 2021
Serie: Libro 1 di 1 - SpringerBriefs in Applied Sciences and Technology
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Taschenbuch. Condizione: Neu. Artificial Intelligence and Machine Learning in Public Healthcare | Opportunities and Societal Impact | Kc Santosh (u. a.) | Taschenbuch | SpringerBriefs in Applied Sciences and Technology | xxiii | Englisch | 2021 | Springer | EAN 9789811667671 | Verantwortliche Person für die EU: Springer Verlag G…mbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
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Lingua: Inglese
Editore: Springer, Springer, 2021
Serie: Libro 1 di 1 - SpringerBriefs in Applied Sciences and Technology
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Da: AHA-BUCH GmbH, Einbeck, GermaniaAHA-BUCH GmbH
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Taschenbuch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - 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.
Lingua: Inglese
Editore: Springer, 2021
Serie: Libro 1 di 1 - SpringerBriefs in Applied Sciences and Technology
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Da: Brook Bookstore On Demand, Napoli, NA, ItaliaBrook Bookstore On Demand
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Condizione: new. Questo è un articolo print on demand.
Lingua: Inglese
Editore: Springer, 2021
Serie: Libro 1 di 1 - SpringerBriefs in Applied Sciences and Technology
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Condizione: Brand New. New. US edition. Print on demand title. Delivery takes 20-25 days. Excellent Customer Service.
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Lingua: Inglese
Editore: Springer Nature Singapore, Springer Nature Singapore Nov 2021, 2021
Serie: Libro 1 di 1 - SpringerBriefs in Applied Sciences and Technology
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Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, GermaniaBuchWeltWeit Ludwig Meier e.K.
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Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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 im…pacts 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. 100 pp. Englisch.
Lingua: Inglese
Editore: Springer, 2021
Serie: Libro 1 di 1 - SpringerBriefs in Applied Sciences and Technology
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- Print on Demand
Da: Majestic Books, Hounslow, Regno UnitoMajestic Books
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Condizione: New. Print on Demand.
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Lingua: Inglese
Editore: Springer, Berlin|Springer Nature Singapore|Springer, 2022
Serie: Libro 1 di 1 - SpringerBriefs in Applied Sciences and Technology
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Da: moluna, Greven, Germaniamoluna
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Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. 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 sus.
Lingua: Inglese
Editore: Springer, 2021
Serie: Libro 1 di 1 - SpringerBriefs in Applied Sciences and Technology
- Brossura
- Print on Demand
Da: Biblios, frankfurt am main, HESSE, GermaniaBiblios
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Condizione: New. PRINT ON DEMAND.
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Lingua: Inglese
Editore: Springer, Springer Nov 2021, 2021
Serie: Libro 1 di 1 - SpringerBriefs in Applied Sciences and Technology
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Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germaniabuchversandmimpf2000
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Taschenbuch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -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 impact…s 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.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 100 pp. Englisch.
