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Data Driven Science for Clinically Actionable Knowledge in Diseases (Analytics and AI for Healthcare) - Hardcover

 
9781032273532: Data Driven Science for Clinically Actionable Knowledge in Diseases (Analytics and AI for Healthcare)
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Daniel Catchpoole (editor), Simeon J. Simoff (editor), Paul Kennedy (editor), Quang Vinh Nguyen (editor)
ISBN 10: 1032273534 ISBN 13: 9781032273532
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Daniel Catchpoole
Published by Taylor & Francis Ltd (2023)
ISBN 10: 1032273534 ISBN 13: 9781032273532
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Catchpoole, Daniel (Editor)/ Simoff, Simeon (Editor)/ Kennedy, Paul (Editor)/ Nguyen, Quang Vinh (Editor)
Published by Chapman & Hall (2023)
ISBN 10: 1032273534 ISBN 13: 9781032273532
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Book Description Hardcover. Condition: Brand New. 282 pages. 9.19x6.13 inches. In Stock. Seller Inventory # __1032273534

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Daniel Catchpoole
Published by Taylor & Francis Ltd, London (2023)
ISBN 10: 1032273534 ISBN 13: 9781032273532
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Book Description Hardcover. Condition: new. Hardcover. Data-driven science has become a major decision-making aid for the diagnosis and treatment of disease. Computational and visual analytics enables effective exploration and sense making of large and complex data through the deployment of appropriate data science methods, meaningful visualisation and human-information interaction.This edited volume covers state-of-the-art theory, method, models, design, evaluation and applications in computational and visual analytics in desktop, mobile and immersive environments for analysing biomedical and health data. The book is focused on data-driven integral analysis, including computational methods and visual analytics practices and solutions for discovering actionable knowledge in support of clinical actions in real environments.By studying how data and visual analytics have been implemented into the healthcare domain, the book demonstrates how analytics influences the domain through improving decision making, specifying diagnostics, selecting the best treatments and generating clinical certainty. Computational and visual analytics enables effective exploration and sense making of large and complex data through the deployment of appropriate data science methods, meaningful visualization and human-information interaction. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Seller Inventory # 9781032273532

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Published by Chapman and Hall/CRC (2023)
ISBN 10: 1032273534 ISBN 13: 9781032273532
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Catchpoole, Daniel (Editor)/ Simoff, Simeon (Editor)/ Kennedy, Paul (Editor)/ Nguyen, Quang Vinh (Editor)
Published by Chapman & Hall (2023)
ISBN 10: 1032273534 ISBN 13: 9781032273532
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Revaluation Books
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Book Description Hardcover. Condition: Brand New. 282 pages. 9.19x6.13x0.75 inches. In Stock. Seller Inventory # x-1032273534

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Published by CRC Press (2023)
ISBN 10: 1032273534 ISBN 13: 9781032273532
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Daniel Catchpoole
Published by Taylor & Francis Ltd, London (2023)
ISBN 10: 1032273534 ISBN 13: 9781032273532
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AussieBookSeller
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Book Description Hardcover. Condition: new. Hardcover. Data-driven science has become a major decision-making aid for the diagnosis and treatment of disease. Computational and visual analytics enables effective exploration and sense making of large and complex data through the deployment of appropriate data science methods, meaningful visualisation and human-information interaction.This edited volume covers state-of-the-art theory, method, models, design, evaluation and applications in computational and visual analytics in desktop, mobile and immersive environments for analysing biomedical and health data. The book is focused on data-driven integral analysis, including computational methods and visual analytics practices and solutions for discovering actionable knowledge in support of clinical actions in real environments.By studying how data and visual analytics have been implemented into the healthcare domain, the book demonstrates how analytics influences the domain through improving decision making, specifying diagnostics, selecting the best treatments and generating clinical certainty. Computational and visual analytics enables effective exploration and sense making of large and complex data through the deployment of appropriate data science methods, meaningful visualization and human-information interaction. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability. Seller Inventory # 9781032273532

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