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Published by Chapman and Hall/CRC, 2023
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Taschenbuch. Condition: Neu. Explainable AI in Healthcare | Unboxing Machine Learning for Biomedicine | Mehul S Raval (u. a.) | Taschenbuch | Einband - flex.(Paperback) | Englisch | 2025 | Chapman and Hall/CRC | EAN 9781032367125 | Verantwortliche Person für die EU: Taylor & Francis Verlag GmbH, Kaufingerstr. 24, 80331 München, gpsr[at]taylorandfrancis[dot]com | Anbieter: preigu.
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ISBN 10: 1032367113 ISBN 13: 9781032367118
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Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - This book combines technology and the medical domain. It covers advances in computer vision (CV) and machine learning (ML) that facilitate automation in diagnostics and therapeutic and preventive health care. The special focus on eXplainable Artificial Intelligence (XAI) uncovers the black box of ML and bridges the semantic gap between the technologists and the medical fraternity. Explainable AI in Healthcare: Unboxing Machine Learning for Biomedicine intends to be a premier reference for practitioners, researchers, and students at basic, intermediary levels and expert levels in computer science, electronics and communications, information technology, instrumentation and control, and electrical engineering.This book will benefit readers in the following ways:Explores state of art in computer vision and deep learning in tandem to develop autonomous or semi-autonomous algorithms for diagnosis in health careInvestigates bridges between computer scientists and physicians being built with XAIFocuses on how data analysis provides the rationale to deal with the challenges of healthcare and making decision-making more transparentInitiates discussions on human-AI relationships in health careUnites learning for privacy preservation in health care.
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Published by Chapman And Hall/CRC, 2023
ISBN 10: 1032367113 ISBN 13: 9781032367118
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Buch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - This book combines technology and the medical domain. It covers advances in computer vision (CV) and machine learning (ML) that facilitate automation in diagnostics and therapeutic and preventive health care. The special focus on eXplainable Artificial Intelligence (XAI) uncovers the black box of ML and bridges the semantic gap between the technologists and the medical fraternity. Explainable AI in Healthcare: Unboxing Machine Learning for Biomedicine intends to be a premier reference for practitioners, researchers, and students at basic, intermediary levels and expert levels in computer science, electronics and communications, information technology, instrumentation and control, and electrical engineering.This book will benefit readers in the following ways:Explores state of art in computer vision and deep learning in tandem to develop autonomous or semi-autonomous algorithms for diagnosis in health careInvestigates bridges between computer scientists and physicians being built with XAIFocuses on how data analysis provides the rationale to deal with the challenges of healthcare and making decision-making more transparentInitiates discussions on human-AI relationships in health careUnites learning for privacy preservation in health care.
Language: English
Published by Chapman and Hall/CRC, 2023
ISBN 10: 1032367113 ISBN 13: 9781032367118
Seller: preigu, Osnabrück, Germany
Buch. Condition: Neu. Explainable AI in Healthcare | Unboxing Machine Learning for Biomedicine | Mehul S Raval (u. a.) | Buch | Einband - fest (Hardcover) | Englisch | 2023 | Chapman and Hall/CRC | EAN 9781032367118 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand.