9783030533540 - explainable ai in healthcare and medicine: building a culture of transparency and accountability: 914 (10 risultati)
Lingua: Inglese
Editore: Springer, 2021
Serie: Libro 423 di 538 - Studies in Computational Intelligence
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Lingua: Inglese
Editore: Springer, 2021
Serie: Libro 423 di 538 - Studies in Computational Intelligence
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Taschenbuch. Condizione: Neu. Explainable AI in Healthcare and Medicine | Building a Culture of Transparency and Accountability | Arash Shaban-Nejad (u. a.) | Taschenbuch | xxii | Englisch | 2021 | Springer | EAN 9783030533540 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen…[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
Lingua: Inglese
Editore: Springer, 2021
Serie: Libro 423 di 538 - Studies in Computational Intelligence
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Da: Books Puddle, New York, NY, U.S.A.Books Puddle
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Condizione: New. 1st ed. 2021 edition NO-PA16APR2015-KAP.
Lingua: Inglese
Editore: Springer International Publishing, 2021
Serie: Libro 423 di 538 - Studies in Computational Intelligence
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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 highlights the latest advances in the application of artificial intelligence and data science in health care and medicine. Featuring selected papers from the 2020 Health Intelligence Workshop, held as part of the Association for the Adva…ncement of Artificial Intelligence (AAAI) Annual Conference, it offers an overview of the issues, challenges, and opportunities in the field, along with the latest research findings. Discussing a wide range of practical applications, it makes the emerging topics of digital health and explainable AI in health care and medicine accessible to a broad readership. The availability of explainable and interpretable models is a first step toward building a culture of transparency and accountability in health care. As such, this book provides information for scientists, researchers, students, industry professionals, public health agencies, and NGOs interested in the theory and practice of computational models of public and personalized health intelligence.
Lingua: Inglese
Editore: Springer, 2021
Serie: Libro 423 di 538 - Studies in Computational Intelligence
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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, Berlin|Springer International Publishing|Springer, 2021
Serie: Libro 423 di 538 - Studies in Computational Intelligence
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Da: moluna, Greven, Germaniamoluna
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Kartoniert / Broschiert. Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. This book highlights the latest advances in the application of artificial intelligence and data science in health care and medicine.This book highlights the latest advances in the application… of artificial intelligence and data science in health care an.
Lingua: Inglese
Editore: Springer International Publishing Nov 2021, 2021
Serie: Libro 423 di 538 - Studies in Computational Intelligence
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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 highlights the latest advances in the application of artificial intelligence and data science in health care and medicine. Featuring selected papers from the 2020 Health Intelligence Workshop, held as part of the Associat…ion for the Advancement of Artificial Intelligence (AAAI) Annual Conference, it offers an overview of the issues, challenges, and opportunities in the field, along with the latest research findings. Discussing a wide range of practical applications, it makes the emerging topics of digital health and explainable AI in health care and medicine accessible to a broad readership. The availability of explainable and interpretable models is a first step toward building a culture of transparency and accountability in health care. As such, this book provides information for scientists, researchers, students, industry professionals, public health agencies, and NGOs interested in the theory and practice of computational models of public and personalized health intelligence. 368 pp. Englisch.
Lingua: Inglese
Editore: Springer, Palgrave Macmillan Nov 2021, 2021
Serie: Libro 423 di 538 - Studies in Computational Intelligence
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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 highlights the latest advances in the application of artificial intelligence and data science in health care and medicine. Featuring selected papers from the 2020 Health Intelligence Workshop, held as part of the Association…for the Advancement of Artificial Intelligence (AAAI) Annual Conference, it offers an overview of the issues, challenges, and opportunities in the field, along with the latest research findings. Discussing a wide range of practical applications, it makes the emerging topics of digital health and explainable AI in health care and medicine accessible to a broad readership. The availability of explainable and interpretable models is a first step toward building a culture of transparency and accountability in health care. As such, this book provides information for scientists, researchers, students, industry professionals, public health agencies, and NGOs interested in the theory and practice of computational models of public and personalized health intelligence.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 368 pp. Englisch.
Lingua: Inglese
Editore: Springer, 2021
Serie: Libro 423 di 538 - Studies in Computational Intelligence
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Da: Majestic Books, Hounslow, Regno UnitoMajestic Books
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EUR 248,79
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Condizione: New. Print on Demand.
Lingua: Inglese
Editore: Springer, 2021
Serie: Libro 423 di 538 - Studies in Computational Intelligence
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Da: Biblios, frankfurt am main, HESSE, GermaniaBiblios
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Condizione: New. PRINT ON DEMAND.
