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Seller: GreatBookPrices, Columbia, MD, U.S.A.
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Published by Taylor & Francis Ltd, 2024
ISBN 10: 1032752106 ISBN 13: 9781032752105
Language: English
Seller: THE SAINT BOOKSTORE, Southport, United Kingdom
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Seller: Ria Christie Collections, Uxbridge, United Kingdom
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Published by Taylor & Francis Ltd, London, 2024
ISBN 10: 1032752106 ISBN 13: 9781032752105
Language: English
Seller: AussieBookSeller, Truganina, VIC, Australia
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Add to basketHardcover. Condition: new. Hardcover. This book provides a thorough exploration of the intersection between gender-based healthcare disparities and the transformative potential of artificial intelligence (AI) and machine learning (ML). It covers a wide range of topics from fundamental concepts to practical applications.Transforming Gender-Based Healthcare with AI and Machine Learning incorporates real-world case studies and success stories to illustrate how AI and ML are actively reshaping gender-based healthcare and offers examples that showcase tangible outcomes and the impact of technology in healthcare settings. The book delves into the ethical considerations surrounding the use of AI and ML in healthcare and addresses issues related to privacy, bias, and responsible technology implementation. Empasis is placed on patient-centered care, and the book discusses how technology empowers individuals to actively participate in their healthcare decisions and promotes a more engaged and informed patient population. Written to encourage interdisciplinary collaboration and highlight the importance of cooperation between health professionals, technologies, researchers, and policymakers, this book portrays how this collaborative approach is essential for achieving transformative goals and is not only for professionals but can also be used at the student level as well. This book provides a thorough exploration of the intersection between gender-based healthcare disparities and the transformative potential of AI and Machine Learning. It covers a wide range of topics from fundamental concepts to practical applications. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.
Seller: GreatBookPrices, Columbia, MD, U.S.A.
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Published by Taylor & Francis Ltd, London, 2024
ISBN 10: 1032752106 ISBN 13: 9781032752105
Language: English
Seller: CitiRetail, Stevenage, United Kingdom
Hardcover. Condition: new. Hardcover. This book provides a thorough exploration of the intersection between gender-based healthcare disparities and the transformative potential of artificial intelligence (AI) and machine learning (ML). It covers a wide range of topics from fundamental concepts to practical applications.Transforming Gender-Based Healthcare with AI and Machine Learning incorporates real-world case studies and success stories to illustrate how AI and ML are actively reshaping gender-based healthcare and offers examples that showcase tangible outcomes and the impact of technology in healthcare settings. The book delves into the ethical considerations surrounding the use of AI and ML in healthcare and addresses issues related to privacy, bias, and responsible technology implementation. Empasis is placed on patient-centered care, and the book discusses how technology empowers individuals to actively participate in their healthcare decisions and promotes a more engaged and informed patient population. Written to encourage interdisciplinary collaboration and highlight the importance of cooperation between health professionals, technologies, researchers, and policymakers, this book portrays how this collaborative approach is essential for achieving transformative goals and is not only for professionals but can also be used at the student level as well. This book provides a thorough exploration of the intersection between gender-based healthcare disparities and the transformative potential of AI and Machine Learning. It covers a wide range of topics from fundamental concepts to practical applications. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
Seller: Biblios, Frankfurt am main, HESSE, Germany
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Published by Taylor & Francis Ltd, London, 2024
ISBN 10: 1032752106 ISBN 13: 9781032752105
Language: English
Seller: Grand Eagle Retail, Mason, OH, U.S.A.
£ 135.77
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Add to basketHardcover. Condition: new. Hardcover. This book provides a thorough exploration of the intersection between gender-based healthcare disparities and the transformative potential of artificial intelligence (AI) and machine learning (ML). It covers a wide range of topics from fundamental concepts to practical applications.Transforming Gender-Based Healthcare with AI and Machine Learning incorporates real-world case studies and success stories to illustrate how AI and ML are actively reshaping gender-based healthcare and offers examples that showcase tangible outcomes and the impact of technology in healthcare settings. The book delves into the ethical considerations surrounding the use of AI and ML in healthcare and addresses issues related to privacy, bias, and responsible technology implementation. Empasis is placed on patient-centered care, and the book discusses how technology empowers individuals to actively participate in their healthcare decisions and promotes a more engaged and informed patient population. Written to encourage interdisciplinary collaboration and highlight the importance of cooperation between health professionals, technologies, researchers, and policymakers, this book portrays how this collaborative approach is essential for achieving transformative goals and is not only for professionals but can also be used at the student level as well. This book provides a thorough exploration of the intersection between gender-based healthcare disparities and the transformative potential of AI and Machine Learning. It covers a wide range of topics from fundamental concepts to practical applications. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
Seller: Revaluation Books, Exeter, United Kingdom
Hardcover. Condition: Brand New. 304 pages. 9.18x6.12x9.21 inches. In Stock.
Seller: Revaluation Books, Exeter, United Kingdom
Hardcover. Condition: Brand New. 304 pages. 9.18x6.12x9.21 inches. In Stock. This item is printed on demand.