EUR 12,27
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Añadir al carritoHardcover. Condición: New. Brand new copy.
Librería: SpringBooks, Berlin, Alemania
Original o primera edición
EUR 30,42
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Añadir al carritoHardcover. Condición: Very Good. 1. Auflage. Unread, with some shelfwear. Immediately dispatched from Germany.
Publicado por Springer International Publishing AG, 2019
ISBN 10: 3319997122 ISBN 13: 9783319997124
Idioma: Inglés
Librería: PBShop.store US, Wood Dale, IL, Estados Unidos de America
EUR 53,78
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Añadir al carritoHRD. Condición: New. New Book. Shipped from UK. Established seller since 2000.
Publicado por Springer International Publishing AG, 2019
ISBN 10: 3319997122 ISBN 13: 9783319997124
Idioma: Inglés
Librería: PBShop.store UK, Fairford, GLOS, Reino Unido
EUR 50,73
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Añadir al carritoHRD. Condición: New. New Book. Shipped from UK. Established seller since 2000.
EUR 46,32
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Añadir al carritoCondición: NEW.
EUR 56,60
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Añadir al carritoCondición: New. In.
EUR 55,20
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Añadir al carritoHardcover. Condición: Brand New. 219 pages. 9.25x6.25x0.75 inches. In Stock.
Publicado por Springer International Publishing, 2019
ISBN 10: 3319997122 ISBN 13: 9783319997124
Idioma: Inglés
Librería: AHA-BUCH GmbH, Einbeck, Alemania
EUR 53,49
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Añadir al carritoBuch. Condición: 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.
EUR 50,72
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Añadir al carritoCondición: New.
Librería: GreatBookPrices, Columbia, MD, Estados Unidos de America
EUR 51,39
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Añadir al carritoCondición: New.
EUR 58,78
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Añadir al carritoCondición: New. pp. VIII, 219 45 illus., 35 illus. in color.
Librería: GreatBookPrices, Columbia, MD, Estados Unidos de America
EUR 55,30
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Añadir al carritoCondición: As New. Unread book in perfect condition.
EUR 57,76
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Añadir al carritoCondición: As New. Unread book in perfect condition.
Librería: Books Puddle, New York, NY, Estados Unidos de America
EUR 66,46
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Añadir al carritoCondición: New. pp. VIII, 219 45 illus., 35 illus. in color. 1 Edition NO-PA16APR2015-KAP.
Publicado por Springer International Publishing, 2019
ISBN 10: 3319997122 ISBN 13: 9783319997124
Idioma: Inglés
Librería: moluna, Greven, Alemania
EUR 57,84
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Añadir al carritoCondición: 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 68,43
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Añadir al carritoCondición: New. pp. VIII, 219 45 illus., 35 illus. in color.
Publicado por Springer International Publishing Jan 2019, 2019
ISBN 10: 3319997122 ISBN 13: 9783319997124
Idioma: Inglés
Librería: buchversandmimpf2000, Emtmannsberg, BAYE, Alemania
EUR 53,49
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Añadir al carritoBuch. Condición: 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 109,19
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Añadir al carritoHardcover. Condición: New. New. book.
Publicado por Springer International Publishing Jan 2019, 2019
ISBN 10: 3319997122 ISBN 13: 9783319997124
Idioma: Inglés
Librería: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Alemania
EUR 53,49
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Añadir al carritoBuch. Condición: 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.