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Machine Learning in Healthcare : Fundamentals and Recent Applications
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Machine Learning in Healthcare: Fundamentals and Recent Applications
Published by Taylor & Francis Ltd, 2024
ISBN 10: 0367564432 ISBN 13: 9780367564438
Language: English
Seller: THE SAINT BOOKSTORE, Southport, United Kingdom
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Machine Learning in Healthcare
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Machine Learning in Healthcare (Paperback)
Published by Taylor & Francis Ltd, London, 2024
ISBN 10: 0367564432 ISBN 13: 9780367564438
Language: English
Paperback. Condition: new. Paperback. Artificial intelligence (AI) and machine learning (ML) techniques play an important role in our daily lives by enhancing predictions and decision-making for the public in several fields such as financial services, real estate business, consumer goods, social media, etc. Despite several studies that have proved the efficacy of AI/ML tools in providing improved healthcare solutions, it has not gained the trust of health-care practitioners and medical scientists. This is due to poor reporting of the technology, variability in medical data, small datasets, and lack of standard guidelines for application of AI. Therefore, the development of new AI/ML tools for various domains of medicine is an ongoing field of research. Machine Learning in Healthcare: Fundamentals and Recent Applications discusses how to build various ML algorithms and how they can be applied to improve healthcare systems. Healthcare applications of AI are innumerable: medical data analysis, early detection and diagnosis of disease, providing objective-based evidence to reduce human errors, curtailing inter- and intra-observer errors, risk identification and interventions for healthcare management, real-time health monitoring, assisting clinicians and patients for selecting appropriate medications, and evaluating drug responses. Extensive demonstrations and discussion on the various principles of machine learning and its application in healthcare is provided, along with solved examples and exercises. This text is ideal for readers interested in machine learning without any background knowledge and looking to implement machine-learning models for healthcare systems. Machine Learning in Healthcare discusses how to build various ML algorithms and how they can be applied to improve healthcare systems. It covers fundamental concepts including mathematical requisites and traditional machine-learning framework followed by advanced machine-learning methods and their applications in medical fields. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
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Machine Learning in Healthcare : Fundamentals and Recent Applications
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Add to basketCondition: New. pages cm First edition Includes bibliographical references and index.
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Add to basketCondition: Sehr gut. Zustand: Sehr gut | Seiten: 448 | Sprache: Englisch | Produktart: Bücher.
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Machine Learning in Healthcare (Paperback)
Published by Taylor & Francis Ltd, London, 2024
ISBN 10: 0367564432 ISBN 13: 9780367564438
Language: English
£ 48.34
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Add to basketPaperback. Condition: new. Paperback. Artificial intelligence (AI) and machine learning (ML) techniques play an important role in our daily lives by enhancing predictions and decision-making for the public in several fields such as financial services, real estate business, consumer goods, social media, etc. Despite several studies that have proved the efficacy of AI/ML tools in providing improved healthcare solutions, it has not gained the trust of health-care practitioners and medical scientists. This is due to poor reporting of the technology, variability in medical data, small datasets, and lack of standard guidelines for application of AI. Therefore, the development of new AI/ML tools for various domains of medicine is an ongoing field of research. Machine Learning in Healthcare: Fundamentals and Recent Applications discusses how to build various ML algorithms and how they can be applied to improve healthcare systems. Healthcare applications of AI are innumerable: medical data analysis, early detection and diagnosis of disease, providing objective-based evidence to reduce human errors, curtailing inter- and intra-observer errors, risk identification and interventions for healthcare management, real-time health monitoring, assisting clinicians and patients for selecting appropriate medications, and evaluating drug responses. Extensive demonstrations and discussion on the various principles of machine learning and its application in healthcare is provided, along with solved examples and exercises. This text is ideal for readers interested in machine learning without any background knowledge and looking to implement machine-learning models for healthcare systems. Machine Learning in Healthcare discusses how to build various ML algorithms and how they can be applied to improve healthcare systems. It covers fundamental concepts including mathematical requisites and traditional machine-learning framework followed by advanced machine-learning methods and their applications in medical fields. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.
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Paperback. Condition: Brand New. 252 pages. 9.18x6.12x9.21 inches. In Stock.
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Condition: Like New. Most items will be dispatched the same or the next working day. An apparently unread copy in perfect condition. Dust cover is intact with no nicks or tears. Spine has no signs of creasing. Pages are clean and not marred by notes or folds of any kind.
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Biomedical Engineering Science and Technology : Second International Conference, Icbest 2023, Raipur, India, February 10-11, 2023, Revised Selected Papers
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Biomedical Engineering Science and Technology: Second International Conference, ICBEST 2023, Raipur, India, February 10-11, 2023, Revised Selected ... in Computer and Information Science)
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Biomedical Engineering Science and Technology (Paperback)
Published by Springer International Publishing AG, Cham, 2024
ISBN 10: 303154546X ISBN 13: 9783031545467
Language: English
Paperback. Condition: new. Paperback. This CCIS post conference volume constitutes the proceedings of the Second International Conference, ICBEST 2023, in Raipur, India, in February 2023. The 32 full papers together in this volume were carefully reviewed and selected from 60 submissions. The conference's fundamental theme was "Computing in Biomedical Research". They were organized in three tracks as follows: Artificial Intelligence in Healthcare; Computational Mechanics in Healthcare and Health Informatics. This CCIS post conference volume constitutes the proceedings of the Second International Conference, ICBEST 2023, in Raipur, India, in February 2023. The 32 full papers together in this volume were carefully reviewed and selected from 60 submissions. The conference's fundamental theme was "Computing in Biomedical Research". Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
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Biomedical Engineering Science and Technology : Second International Conference, Icbest 2023, Raipur, India, February 10-11, 2023, Revised Selected Papers
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
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Biomedical Engineering Science and Technology
Published by Springer, Berlin|Springer Nature Switzerland|Springer, 2024
ISBN 10: 303154546X ISBN 13: 9783031545467
Language: English
£ 74.57
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Biomedical Engineering Science and Technology : Second International Conference, ICBEST 2023, Raipur, India, February 10-11, 2023, Revised Selected Papers
Published by Springer Nature Switzerland, Springer International Publishing, 2024
ISBN 10: 303154546X ISBN 13: 9783031545467
Language: English
£ 85.98
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Add to basketTaschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - This CCIS post conference volumeconstitutes the proceedings of the Second International Conference, ICBEST 2023, in Raipur, India, in February 2023.The32full papers together in this volume were carefully reviewed and selected from 60 submissions. The conference's fundamental theme was 'Computing in Biomedical Research'. They were organized in three tracks as follows: Artificial Intelligence in Healthcare; Computational Mechanics in Healthcare and Health Informatics.
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Machine Learning in Healthcare (Paperback)
Published by Taylor & Francis Ltd, London, 2024
ISBN 10: 0367564432 ISBN 13: 9780367564438
Language: English
£ 61.41
Convert currency£ 37.07 shipping from U.S.A. to United KingdomQuantity: 1 available
Add to basketPaperback. Condition: new. Paperback. Artificial intelligence (AI) and machine learning (ML) techniques play an important role in our daily lives by enhancing predictions and decision-making for the public in several fields such as financial services, real estate business, consumer goods, social media, etc. Despite several studies that have proved the efficacy of AI/ML tools in providing improved healthcare solutions, it has not gained the trust of health-care practitioners and medical scientists. This is due to poor reporting of the technology, variability in medical data, small datasets, and lack of standard guidelines for application of AI. Therefore, the development of new AI/ML tools for various domains of medicine is an ongoing field of research. Machine Learning in Healthcare: Fundamentals and Recent Applications discusses how to build various ML algorithms and how they can be applied to improve healthcare systems. Healthcare applications of AI are innumerable: medical data analysis, early detection and diagnosis of disease, providing objective-based evidence to reduce human errors, curtailing inter- and intra-observer errors, risk identification and interventions for healthcare management, real-time health monitoring, assisting clinicians and patients for selecting appropriate medications, and evaluating drug responses. Extensive demonstrations and discussion on the various principles of machine learning and its application in healthcare is provided, along with solved examples and exercises. This text is ideal for readers interested in machine learning without any background knowledge and looking to implement machine-learning models for healthcare systems. Machine Learning in Healthcare discusses how to build various ML algorithms and how they can be applied to improve healthcare systems. It covers fundamental concepts including mathematical requisites and traditional machine-learning framework followed by advanced machine-learning methods and their applications in medical fields. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
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Machine Learning in Healthcare: Fundamentals and Recent Applications
Published by Taylor & Francis Ltd, 2022
ISBN 10: 0367564424 ISBN 13: 9780367564421
Language: English
Seller: THE SAINT BOOKSTORE, Southport, United Kingdom
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Hardback. Condition: New. New copy - Usually dispatched within 4 working days. 185.
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Machine Learning in Healthcare: Fundamentals and Recent Applications
Published by Taylor & Francis Group, 2022
ISBN 10: 0367564424 ISBN 13: 9780367564421
Language: English
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£ 92.13
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Machine Learning in Healthcare : Fundamentals and Recent Applications
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
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Machine Learning in Healthcare
Seller: Ria Christie Collections, Uxbridge, United Kingdom
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£ 97.32
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£ 107.67
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Add to basketCondition: New. 2024th edition NO-PA16APR2015-KAP.
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Machine Learning in Healthcare: Fundamentals and Recent Applications
Published by Taylor & Francis Group, 2022
ISBN 10: 0367564424 ISBN 13: 9780367564421
Language: English
£ 107.94
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