Language: English
Published by Chapman and Hall/CRC, 2024
ISBN 10: 1032349247 ISBN 13: 9781032349244
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Language: English
Published by Chapman and Hall/CRC, 2024
ISBN 10: 1032349247 ISBN 13: 9781032349244
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Language: English
Published by Chapman and Hall/CRC, 2024
ISBN 10: 1032349247 ISBN 13: 9781032349244
Seller: Books Puddle, New York, NY, U.S.A.
Condition: New. pages cm First edition Includes bibliographical references and index.
Language: English
Published by Chapman and Hall/CRC, 2024
ISBN 10: 1032349247 ISBN 13: 9781032349244
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Language: English
Published by Chapman and Hall/CRC, 2024
ISBN 10: 1032349247 ISBN 13: 9781032349244
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Language: English
Published by Taylor & Francis Ltd, 2024
ISBN 10: 1032349247 ISBN 13: 9781032349244
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Language: English
Published by Chapman and Hall/CRC, 2024
ISBN 10: 1032349247 ISBN 13: 9781032349244
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Language: English
Published by Chapman and Hall/CRC, 2024
ISBN 10: 1032349247 ISBN 13: 9781032349244
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Language: English
Published by Auerbach Publications, 2025
ISBN 10: 1032745169 ISBN 13: 9781032745169
Seller: Majestic Books, Hounslow, United Kingdom
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Language: English
Published by Auerbach Publications, 2025
ISBN 10: 1032745169 ISBN 13: 9781032745169
Seller: California Books, Miami, FL, U.S.A.
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Language: English
Published by Auerbach Publications, 2025
ISBN 10: 1032745169 ISBN 13: 9781032745169
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Language: English
Published by Auerbach Publications, 2025
ISBN 10: 1032745169 ISBN 13: 9781032745169
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Language: English
Published by Taylor and Francis Ltd, GB, 2025
ISBN 10: 1032745169 ISBN 13: 9781032745169
Seller: Rarewaves.com USA, London, LONDO, United Kingdom
Paperback. Condition: New. Deep learning can provide more accurate results compared to machine learning. It uses layered algorithmic architecture to analyze data. It produces more accurate results since learning from previous results enhances its ability. The multi-layered nature of deep learning systems has the potential to classify subtle abnormalities in medical images, clustering patients with similar characteristics into risk-based cohorts, or highlighting relationships between symptoms and outcomes within vast quantities of unstructured data.Exploring this potential, Deep Learning for Smart Healthcare: Trends, Challenges and Applications is a reference work for researchers and academicians who are seeking new ways to apply deep learning algorithms in healthcare, including medical imaging and healthcare data analytics. It covers how deep learning can analyze a patient's medical history efficiently to aid in recommending drugs and dosages. It discusses how deep learning can be applied to CT scans, MRI scans and ECGs to diagnose diseases. Other deep learning applications explored are extending the scope of patient record management, pain assessment, new drug design and managing the clinical trial process.Bringing together a wide range of research domains, this book can help to develop breakthrough applications for improving healthcare management and patient outcomes.
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Language: English
Published by Taylor & Francis Ltd, 2025
ISBN 10: 1032745169 ISBN 13: 9781032745169
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Language: English
Published by Auerbach Publications, 2025
ISBN 10: 1032745169 ISBN 13: 9781032745169
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Language: English
Published by Auerbach Publications, 2025
ISBN 10: 1032745169 ISBN 13: 9781032745169
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Language: English
Published by Taylor & Francis Ltd, London, 2025
ISBN 10: 1032745169 ISBN 13: 9781032745169
Seller: CitiRetail, Stevenage, United Kingdom
Paperback. Condition: new. Paperback. Deep learning can provide more accurate results compared to machine learning. It uses layered algorithmic architecture to analyze data. It produces more accurate results since learning from previous results enhances its ability. The multi-layered nature of deep learning systems has the potential to classify subtle abnormalities in medical images, clustering patients with similar characteristics into risk-based cohorts, or highlighting relationships between symptoms and outcomes within vast quantities of unstructured data.Exploring this potential, Deep Learning for Smart Healthcare: Trends, Challenges and Applications is a reference work for researchers and academicians who are seeking new ways to apply deep learning algorithms in healthcare, including medical imaging and healthcare data analytics. It covers how deep learning can analyze a patients medical history efficiently to aid in recommending drugs and dosages. It discusses how deep learning can be applied to CT scans, MRI scans and ECGs to diagnose diseases. Other deep learning applications explored are extending the scope of patient record management, pain assessment, new drug design and managing the clinical trial process.Bringing together a wide range of research domains, this book can help to develop breakthrough applications for improving healthcare management and patient outcomes. The book is a baseline reference for researchers and academicians who are investigating the application of deep learning algorithms in the healthcare sector. It focuses on medical imaging and healthcare data analytics. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
Language: English
Published by Chapman and Hall/CRC, 2022
ISBN 10: 1032074000 ISBN 13: 9781032074009
Seller: GreatBookPrices, Columbia, MD, U.S.A.
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Language: English
Published by Taylor & Francis Ltd, 2025
ISBN 10: 1032745169 ISBN 13: 9781032745169
Seller: Revaluation Books, Exeter, United Kingdom
Paperback. Condition: Brand New. 280 pages. 6.14x0.65x9.21 inches. In Stock.
Language: English
Published by Chapman and Hall/CRC, 2022
ISBN 10: 1032074000 ISBN 13: 9781032074009
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Language: English
Published by Chapman and Hall/CRC, 2022
ISBN 10: 1032074000 ISBN 13: 9781032074009
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Language: English
Published by Chapman and Hall/CRC, 2025
ISBN 10: 1032708190 ISBN 13: 9781032708195
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Language: English
Published by Chapman and Hall/CRC, 2022
ISBN 10: 1032074000 ISBN 13: 9781032074009
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Language: English
Published by Chapman and Hall/CRC, 2022
ISBN 10: 1032074000 ISBN 13: 9781032074009
Seller: Majestic Books, Hounslow, United Kingdom
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Language: English
Published by Taylor & Francis Ltd, 2022
ISBN 10: 1032074000 ISBN 13: 9781032074009
Seller: THE SAINT BOOKSTORE, Southport, United Kingdom
Hardback. Condition: New. New copy - Usually dispatched within 4 working days.
Language: English
Published by Chapman and Hall/CRC, 2022
ISBN 10: 1032074000 ISBN 13: 9781032074009
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