hardcover. Zustand: Very Good. The copy shows external wear and creasing, but is in otherwise clean condition.
hardcover. Zustand: Fine.
Sprache: Englisch
Verlag: Springer International Publishing AG, 2024
ISBN 10: 3031393546 ISBN 13: 9783031393549
Anbieter: PBShop.store US, Wood Dale, IL, USA
HRD. Zustand: New. New Book. Shipped from UK. Established seller since 2000.
Sprache: Englisch
Verlag: Springer International Publishing AG, 2024
ISBN 10: 3031393546 ISBN 13: 9783031393549
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In den WarenkorbHRD. Zustand: New. New Book. Shipped from UK. Established seller since 2000.
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In den WarenkorbHardcover. Zustand: Brand New. 1st edition. 810 pages. 9.25x6.25x2.00 inches. In Stock.
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In den WarenkorbZustand: NEW.
Sprache: Englisch
Verlag: Springer International Publishing, 2024
ISBN 10: 3031393546 ISBN 13: 9783031393549
Anbieter: moluna, Greven, Deutschland
Gebunden. Zustand: New. Covers how to build models that can be applied with minimal risk in high-stakes settingsDiscusses how to integrate clinical and molecular analysis and modelling in medicine and healthcareFeatures detailed insight into both predictive and ca.
Sprache: Englisch
Verlag: Springer International Publishing AG, 2024
ISBN 10: 3031393546 ISBN 13: 9783031393549
Anbieter: preigu, Osnabrück, Deutschland
Buch. Zustand: Neu. Artificial Intelligence and Machine Learning in Health Care and Medical Sciences | Best Practices and Pitfalls | Constantin Aliferis (u. a.) | Buch | Health Informatics | xxvi | Englisch | 2024 | Springer International Publishing AG | EAN 9783031393549 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
Sprache: Englisch
Verlag: Springer International Publishing AG Mär 2024, 2024
ISBN 10: 3031393546 ISBN 13: 9783031393549
Anbieter: AHA-BUCH GmbH, Einbeck, Deutschland
Buch. Zustand: Neu. Neuware - This open access book provides a detailed review of the latest methods and applications of artificial intelligence (AI) and machine learning (ML) in medicine. With chapters focusing on enabling the reader to develop a thorough understanding of the key concepts in these subject areas along with a range of methods and resulting models that can be utilized to solve healthcare problems, the use of causal and predictive models are comprehensively discussed. Care is taken to systematically describe the concepts to facilitate the reader in developing a thorough conceptual understanding of how different methods and resulting models function and how these relate to their applicability to various issues in health care and medical sciences. Guidance is also given on how to avoid pitfalls that can be encountered on a day-to-day basis and stratify potential clinical risks. Artificial Intelligence and Machine Learning in Health Care and Medical Sciences: Best Practices and Pitfallsis a comprehensive guide to how AI and ML techniques can best be applied in health care. The emphasis placed on how to avoid a variety of pitfalls that can be encountered makes it an indispensable guide for all medical informatics professionals and physicians who utilize these methodologies on a day-to-day basis. Furthermore, this work will be of significant interest to health data scientists, administrators and to students in the health sciences seeking an up-to-date resource on the topic.