9781839536205 - explainable artificial intelligence in medical decision support systems (15 risultati)
Explainable Artificial Intelligence in Medical Decision Support Systems
Imoize, Agbotiname Lucky (EDT); Hemanth, Jude (EDT); Do, Dinh-thuan (EDT); Sur, Samarendra Nath (EDT)
Lingua: Inglese
Editore: The Institution of Engineering and Technology, 2023
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Da: GreatBookPrices, Columbia, MD, U.S.A.GreatBookPrices
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Explainable Artificial Intelligence in Medical Decision Support Systems
Imoize, Agbotiname Lucky (EDT); Hemanth, Jude (EDT); Do, Dinh-thuan (EDT); Sur, Samarendra Nath (EDT)
Lingua: Inglese
Editore: The Institution of Engineering and Technology, 2023
- Rilegato
Da: GreatBookPrices, Columbia, MD, U.S.A.GreatBookPrices
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Lingua: Inglese
Editore: The Institution of Engineering and Technology, 2023
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Da: California Books, Miami, FL, U.S.A.California Books
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EUR 144,79
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Lingua: Inglese
Editore: Institution of Engineering and Technology, GB, 2023
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Da: Rarewaves USA, OSWEGO, IL, U.S.A.Rarewaves USA
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EUR 145,12
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Hardback. Condizione: New. Medical decision support systems (MDSS) are computer-based programs that analyse data within a patient's healthcare records to provide questions, prompts, or reminders to assist clinicians at the point of care. Inputting a patient's data, symptoms, or current treatment regimens into an MDSS, clinicians… are assisted with the identification or elimination of the most likely potential medical causes, which can enable faster discovery of a set of appropriate diagnoses or treatment plans. Explainable AI (XAI) is a "white box" model of artificial intelligence in which the results of the solution can be understood by the users, who can see an estimate of the weighted importance of each feature on the model's predictions, and understand how the different features interact to arrive at a specific decision. This book discusses XAI-based analytics for patient-specific MDSS as well as related security and privacy issues associated with processing patient data. It provides insights into real-world scenarios of the deployment, application, management, and associated benefits of XAI in MDSS. The book outlines the frameworks for MDSS and explores the applicability, prospects, and legal implications of XAI for MDSS. Applications of XAI in MDSS such as XAI for robot-assisted surgeries, medical image segmentation, cancer diagnostics, and diabetes mellitus and heart disease prediction are explored.
Explainable Artificial Intelligence in Medical Decision Support Systems
Imoize, Agbotiname Lucky (EDT); Hemanth, Jude (EDT); Do, Dinh-thuan (EDT); Sur, Samarendra Nath (EDT)
Lingua: Inglese
Editore: The Institution of Engineering and Technology, 2023
- Rilegato
Da: GreatBookPricesUK, Woodford Green, Regno UnitoGreatBookPricesUK
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EUR 143,23
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Condizione: As New. Unread book in perfect condition.
Explainable Artificial Intelligence in Medical Decision Support Systems
Imoize, Agbotiname Lucky (EDT); Hemanth, Jude (EDT); Do, Dinh-thuan (EDT); Sur, Samarendra Nath (EDT)
Lingua: Inglese
Editore: The Institution of Engineering and Technology, 2023
- Rilegato
Da: GreatBookPricesUK, Woodford Green, Regno UnitoGreatBookPricesUK
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EUR 154,48
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Condizione: New.
Lingua: Inglese
Editore: The Institution of Engineering and Technology, 2023
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Da: Ria Christie Collections, Uxbridge, Regno UnitoRia Christie Collections
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Condizione: New. In.
Lingua: Inglese
Editore: Institution of Engineering and Technology, GB, 2023
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Da: Rarewaves USA United, OSWEGO, IL, U.S.A.Rarewaves USA United
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Hardback. Condizione: New. Medical decision support systems (MDSS) are computer-based programs that analyse data within a patient's healthcare records to provide questions, prompts, or reminders to assist clinicians at the point of care. Inputting a patient's data, symptoms, or current treatment regimens into an MDSS, clinicians… are assisted with the identification or elimination of the most likely potential medical causes, which can enable faster discovery of a set of appropriate diagnoses or treatment plans. Explainable AI (XAI) is a "white box" model of artificial intelligence in which the results of the solution can be understood by the users, who can see an estimate of the weighted importance of each feature on the model's predictions, and understand how the different features interact to arrive at a specific decision. This book discusses XAI-based analytics for patient-specific MDSS as well as related security and privacy issues associated with processing patient data. It provides insights into real-world scenarios of the deployment, application, management, and associated benefits of XAI in MDSS. The book outlines the frameworks for MDSS and explores the applicability, prospects, and legal implications of XAI for MDSS. Applications of XAI in MDSS such as XAI for robot-assisted surgeries, medical image segmentation, cancer diagnostics, and diabetes mellitus and heart disease prediction are explored.
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Da: Revaluation Books, Exeter, Regno UnitoRevaluation Books
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EUR 196,48
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Hardcover. Condizione: Brand New. 1st edition. 521 pages. 9.25x6.25x1.25 inches. In Stock.
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Da: moluna, Greven, Germaniamoluna
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Condizione: New. KlappentextThis edited book gives insights into the deployment, application, management, and benefits of explainable artificial intelligence (XAI) in medical decision support systems (MDSS). The book discusses XAI-based analytics for .
Lingua: Inglese
Editore: Institution Of Engineering & Technology Jan 2023, 2023
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Da: AHA-BUCH GmbH, Einbeck, GermaniaAHA-BUCH GmbH
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Buch. Condizione: Neu. Neuware - Medical decision support systems (MDSS) are computer-based programs that analyse data within a patient's healthcare records to provide questions, prompts, or reminders to assist clinicians at the point of care. Inputting a patient's data, symptoms, or current treatment regimens into an MDSS, clin…icians are assisted with the identification or elimination of the most likely potential medical causes, which can enable faster discovery of a set of appropriate diagnoses or treatment plans. Explainable AI (XAI) is a 'white box' model of artificial intelligence in which the results of the solution can be understood by the users, who can see an estimate of the weighted importance of each feature on the model's predictions, and understand how the different features interact to arrive at a specific decision. This book discusses XAI-based analytics for patient-specific MDSS as well as related security and privacy issues associated with processing patient data. It provides insights into real-world scenarios of the deployment, application, management, and associated benefits of XAI in MDSS. The book outlines the frameworks for MDSS and explores the applicability, prospects, and legal implications of XAI for MDSS. Applications of XAI in MDSS such as XAI for robot-assisted surgeries, medical image segmentation, cancer diagnostics, and diabetes mellitus and heart disease prediction are explored.
Lingua: Inglese
Editore: The Institution of Engineering and Technology, 2023
- Rilegato
Da: Mispah books, Redhill, SURRE, Regno UnitoMispah books
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EUR 289,81
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hardcover. Condizione: New. New .Ships From Multiple Locations. book.
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Da: PBShop.store US, Wood Dale, IL, U.S.A.PBShop.store US
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HRD. Condizione: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
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Da: PBShop.store UK, Fairford, GLOS, Regno UnitoPBShop.store UK
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HRD. Condizione: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
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Da: THE SAINT BOOKSTORE, Southport, Regno UnitoTHE SAINT BOOKSTORE
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Hardback. Condizione: New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days.
