EUR 12,32
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Aggiungi al carrelloHardcover. Condizione: New. Brand new copy.
Da: SpringBooks, Berlin, Germania
Prima edizione
EUR 30,42
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Aggiungi al carrelloHardcover. Condizione: Very Good. 1. Auflage. Unread, with some shelfwear. Immediately dispatched from Germany.
EUR 46,50
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Aggiungi al carrelloCondizione: NEW.
Editore: Springer International Publishing AG, 2019
ISBN 10: 3319997122 ISBN 13: 9783319997124
Lingua: Inglese
Da: PBShop.store US, Wood Dale, IL, U.S.A.
EUR 54,54
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Aggiungi al carrelloHRD. Condizione: New. New Book. Shipped from UK. Established seller since 2000.
Editore: Springer International Publishing AG, 2019
ISBN 10: 3319997122 ISBN 13: 9783319997124
Lingua: Inglese
Da: PBShop.store UK, Fairford, GLOS, Regno Unito
EUR 50,93
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Aggiungi al carrelloHRD. Condizione: New. New Book. Shipped from UK. Established seller since 2000.
EUR 55,41
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Aggiungi al carrelloHardcover. Condizione: Brand New. 219 pages. 9.25x6.25x0.75 inches. In Stock.
EUR 56,82
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Aggiungi al carrelloCondizione: New. In.
EUR 50,92
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Aggiungi al carrelloCondizione: New.
Editore: Springer International Publishing, 2019
ISBN 10: 3319997122 ISBN 13: 9783319997124
Lingua: Inglese
Da: moluna, Greven, Germania
EUR 57,84
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Aggiungi al carrelloCondizione: New. Provides a resource for healthcare professionals on smart algorithms Integrates the data, modelling, clinical application levels of clinical data scienceFocuses on relevant non math and c.
EUR 52,11
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Aggiungi al carrelloCondizione: New.
EUR 59,61
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Aggiungi al carrelloCondizione: New. pp. VIII, 219 45 illus., 35 illus. in color.
Editore: Springer International Publishing, 2019
ISBN 10: 3319997122 ISBN 13: 9783319997124
Lingua: Inglese
Da: AHA-BUCH GmbH, Einbeck, Germania
EUR 53,49
Convertire valutaQuantità: 1 disponibili
Aggiungi al carrelloBuch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - This open access book comprehensively covers the fundamentals of clinical data science, focusing on data collection, modelling and clinical applications. Topics covered in the first section on data collection include: data sources, data at scale (big data), data stewardship (FAIR data) and related privacy concerns. Aspects of predictive modelling using techniques such as classification, regression or clustering, and prediction model validation will be covered in the second section. The third section covers aspects of (mobile) clinical decision support systems, operational excellence and value-based healthcare.Fundamentals of Clinical Data Scienceis an essential resource for healthcare professionals and IT consultants intending to develop and refine their skills in personalized medicine, using solutions based on large datasets from electronic health records or telemonitoring programmes. The book's promise is 'no math, no code'and will explain the topics in a style that is optimized for a healthcare audience.
Editore: Springer International Publishing Jan 2019, 2019
ISBN 10: 3319997122 ISBN 13: 9783319997124
Lingua: Inglese
Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germania
EUR 53,49
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Aggiungi al carrelloBuch. Condizione: Neu. Neuware -This open access book comprehensively covers the fundamentals of clinical data science, focusing on data collection, modelling and clinical applications. Topics covered in the first section on data collection include: data sources, data at scale (big data), data stewardship (FAIR data) and related privacy concerns. Aspects of predictive modelling using techniques such as classification, regression or clustering, and prediction model validation will be covered in the second section. The third section covers aspects of (mobile) clinical decision support systems, operational excellence and value-based healthcare.Fundamentals of Clinical Data Science is an essential resource for healthcare professionals and IT consultants intending to develop and refine their skills in personalized medicine, using solutions based on large datasets from electronic health records or telemonitoring programmes. The book¿s promise is ¿no math, no code¿and will explain the topics in a style that is optimized for a healthcare audience.Springer-Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 232 pp. Englisch.
EUR 55,97
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Aggiungi al carrelloCondizione: As New. Unread book in perfect condition.
EUR 67,40
Convertire valutaQuantità: 3 disponibili
Aggiungi al carrelloCondizione: New. pp. VIII, 219 45 illus., 35 illus. in color. 1 Edition NO-PA16APR2015-KAP.
EUR 57,98
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Aggiungi al carrelloCondizione: As New. Unread book in perfect condition.
EUR 68,43
Convertire valutaQuantità: 3 disponibili
Aggiungi al carrelloCondizione: New. pp. VIII, 219 45 illus., 35 illus. in color.
EUR 109,62
Convertire valutaQuantità: 1 disponibili
Aggiungi al carrelloHardcover. Condizione: New. New. book.
Editore: Springer International Publishing Jan 2019, 2019
ISBN 10: 3319997122 ISBN 13: 9783319997124
Lingua: Inglese
Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germania
EUR 53,49
Convertire valutaQuantità: 2 disponibili
Aggiungi al carrelloBuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This open access book comprehensively covers the fundamentals of clinical data science, focusing on data collection, modelling and clinical applications. Topics covered in the first section on data collection include: data sources, data at scale (big data), data stewardship (FAIR data) and related privacy concerns. Aspects of predictive modelling using techniques such as classification, regression or clustering, and prediction model validation will be covered in the second section. The third section covers aspects of (mobile) clinical decision support systems, operational excellence and value-based healthcare.Fundamentals of Clinical Data Scienceis an essential resource for healthcare professionals and IT consultants intending to develop and refine their skills in personalized medicine, using solutions based on large datasets from electronic health records or telemonitoring programmes. The book's promise is 'no math, no code'and will explain the topics in a style that is optimized for a healthcare audience. 232 pp. Englisch.