hardcover. Condizione: Very Good. The copy shows external wear and creasing, but is in otherwise clean condition.
hardcover. Condizione: Fine.
Condizione: New.
Lingua: Inglese
Editore: Springer International Publishing AG, 2024
ISBN 10: 3031393546 ISBN 13: 9783031393549
Da: PBShop.store US, Wood Dale, IL, U.S.A.
HRD. Condizione: New. New Book. Shipped from UK. Established seller since 2000.
Lingua: Inglese
Editore: Springer International Publishing AG, 2024
ISBN 10: 3031393546 ISBN 13: 9783031393549
Da: PBShop.store UK, Fairford, GLOS, Regno Unito
EUR 48,93
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Aggiungi al carrelloHRD. Condizione: New. New Book. Shipped from UK. Established seller since 2000.
Condizione: As New. Unread book in perfect condition.
Condizione: NEW.
Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 48,92
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Aggiungi al carrelloCondizione: New.
Lingua: Inglese
Editore: Springer International Publishing AG, Cham, 2024
ISBN 10: 3031393546 ISBN 13: 9783031393549
Da: Grand Eagle Retail, Bensenville, IL, U.S.A.
Hardcover. Condizione: new. Hardcover. 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. 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. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
Da: Chiron Media, Wallingford, Regno Unito
EUR 50,02
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Da: Ria Christie Collections, Uxbridge, Regno Unito
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Da: Majestic Books, Hounslow, Regno Unito
EUR 63,30
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Aggiungi al carrelloCondizione: New.
Condizione: New. 2024th edition NO-PA16APR2015-KAP.
Lingua: Inglese
Editore: Springer International Publishing AG, CH, 2024
ISBN 10: 3031393546 ISBN 13: 9783031393549
Da: Rarewaves.com USA, London, LONDO, Regno Unito
EUR 73,83
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Aggiungi al carrelloHardback. Condizione: New. 2024 ed.
Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 56,29
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Aggiungi al carrelloCondizione: As New. Unread book in perfect condition.
Da: Biblios, Frankfurt am main, HESSE, Germania
EUR 64,51
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Da: Revaluation Books, Exeter, Regno Unito
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Aggiungi al carrelloHardcover. Condizione: Brand New. 1st edition. 810 pages. 9.25x6.25x2.00 inches. In Stock.
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Da: UK BOOKS STORE, London, LONDO, Regno Unito
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Aggiungi al carrelloCondizione: New. Brand New ! Fast Delivery "International Edition " and ship within 24-48 hours. Deliver by FedEx and Dhl, & Aramex, UPS, & USPS and we do accept APO and PO BOX Addresses. Order can be delivered worldwide within 4-6 Working days .and we do have flat rate for up to 2LB. Extra shipping charges will be requested This Item May be shipped from India, United states & United Kingdom. Depending on your location and availability.
Lingua: Inglese
Editore: Springer International Publishing, 2024
ISBN 10: 3031393546 ISBN 13: 9783031393549
Da: moluna, Greven, Germania
EUR 57,84
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Aggiungi al carrelloGebunden. Condizione: 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.
Lingua: Inglese
Editore: Springer International Publishing AG, Cham, 2024
ISBN 10: 3031393546 ISBN 13: 9783031393549
Da: AussieBookSeller, Truganina, VIC, Australia
EUR 108,22
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Aggiungi al carrelloHardcover. Condizione: new. Hardcover. 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. 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. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.
Lingua: Inglese
Editore: Springer International Publishing AG, CH, 2024
ISBN 10: 3031393546 ISBN 13: 9783031393549
Da: Rarewaves.com UK, London, Regno Unito
EUR 69,03
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Aggiungi al carrelloHardback. Condizione: New. 2024 ed.
Lingua: Inglese
Editore: Springer International Publishing AG Mär 2024, 2024
ISBN 10: 3031393546 ISBN 13: 9783031393549
Da: AHA-BUCH GmbH, Einbeck, Germania
EUR 60,18
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Aggiungi al carrelloBuch. Condizione: 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.