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Edité par Springer, Berlin|Springer International Publishing|Springer, 2021
ISBN 10 : 3030539954 ISBN 13 : 9783030539955
Langue: anglais
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Edité par Springer International Publishing, Springer International Publishing Okt 2021, 2021
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Langue: anglais
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Ajouter au panierTaschenbuch. Etat : Neu. Neuware -This book provides a practically applicable guide to the methodologies and technologies for the application of interactive process mining paradigm. Case studies are presented where this paradigm has been successfully applied in emergency medicine, surgery processes, human behavior modelling, strokes and outpatients¿ services, enabling the reader to develop a deep understanding of how to apply process mining technologies in healthcare to support them in inferring new knowledge from past actions, and providing accurate and personalized knowledge to improve their future clinical decision-making.Interactive Process Mining in Healthcare comprehensively covers how machine learning algorithms can be utilized to create real scientific evidence to improve daily healthcare protocols, and is a valuable resource for a variety of health professionals seeking to develop new methods to improve their clinical decision-making.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 320 pp. Englisch.
Edité par Springer International Publishing, Springer International Publishing, 2021
ISBN 10 : 3030539954 ISBN 13 : 9783030539955
Langue: anglais
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Ajouter au panierTaschenbuch. Etat : Neu. Druck auf Anfrage Neuware - Printed after ordering - This book provides a practically applicable guide to themethodologies and technologies for the application of interactive process mining paradigm. Case studies are presented where this paradigm has been successfully applied in emergency medicine, surgery processes, human behavior modelling, strokes and outpatients' services, enabling the reader to develop a deep understanding of how to apply process mining technologies in healthcare to support them in inferring new knowledge from past actions, and providing accurate and personalized knowledge to improve their future clinical decision-making.Interactive Process Mining in Healthcarecomprehensively covers howmachine learning algorithms can be utilized to create real scientific evidence to improve daily healthcare protocols, and is a valuable resource for a variety of health professionals seeking to develop new methods to improve their clinical decision-making.
Edité par Springer International Publishing, 2021
ISBN 10 : 3030539954 ISBN 13 : 9783030539955
Langue: anglais
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Ajouter au panierTaschenbuch. Etat : Neu. Interactive Process Mining in Healthcare | Carlos Fernandez-Llatas | Taschenbuch | xiv | Englisch | 2021 | Springer International Publishing | EAN 9783030539955 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
Edité par Springer International Publishing Okt 2021, 2021
ISBN 10 : 3030539954 ISBN 13 : 9783030539955
Langue: anglais
Vendeur : BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Allemagne
EUR 64,19
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Ajouter au panierTaschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book provides a practically applicable guide to themethodologies and technologies for the application of interactive process mining paradigm. Case studies are presented where this paradigm has been successfully applied in emergency medicine, surgery processes, human behavior modelling, strokes and outpatients' services, enabling the reader to develop a deep understanding of how to apply process mining technologies in healthcare to support them in inferring new knowledge from past actions, and providing accurate and personalized knowledge to improve their future clinical decision-making.Interactive Process Mining in Healthcarecomprehensively covers howmachine learning algorithms can be utilized to create real scientific evidence to improve daily healthcare protocols, and is a valuable resource for a variety of health professionals seeking to develop new methods to improve their clinical decision-making. 320 pp. Englisch.