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Published by Springer International Publishing AG, 2019
ISBN 10: 3319997122 ISBN 13: 9783319997124
Language: English
Seller: PBShop.store UK, Fairford, GLOS, United Kingdom
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Add to basketCondition: New. pp. VIII, 219 45 illus., 35 illus. in color.
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Condition: New. pp. VIII, 219 45 illus., 35 illus. in color. 1 Edition NO-PA16APR2015-KAP.
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Add to basketCondition: New. pp. VIII, 219 45 illus., 35 illus. in color.
Published by Springer International Publishing, 2019
ISBN 10: 3319997122 ISBN 13: 9783319997124
Language: English
Seller: AHA-BUCH GmbH, Einbeck, Germany
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Add to basketBuch. Condition: 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.
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Published by Springer International Publishing, 2019
ISBN 10: 3319997122 ISBN 13: 9783319997124
Language: English
Seller: moluna, Greven, Germany
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Add to basketCondition: 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.
Published by Springer International Publishing Jan 2019, 2019
ISBN 10: 3319997122 ISBN 13: 9783319997124
Language: English
Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germany
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Add to basketBuch. Condition: 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.
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Add to basketHardcover. Condition: New. New. book.
Published by Springer International Publishing Jan 2019, 2019
ISBN 10: 3319997122 ISBN 13: 9783319997124
Language: English
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
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Add to basketBuch. Condition: 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.