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Paperback. Condition: Brand New. 42 pages. 6.00x0.10x9.00 inches. In Stock.
Published by The Institution of Engineering and Technology, 2022
ISBN 10: 1839535113 ISBN 13: 9781839535116
Language: English
Seller: GreatBookPrices, Columbia, MD, U.S.A.
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Published by The Institution of Engineering and Technology, 2022
ISBN 10: 1839535113 ISBN 13: 9781839535116
Language: English
Seller: California Books, Miami, FL, U.S.A.
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Published by The Institution of Engineering and Technology, 2022
ISBN 10: 1839535113 ISBN 13: 9781839535116
Language: English
Seller: GreatBookPrices, Columbia, MD, U.S.A.
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Published by The Institution of Engineering and Technology, 2022
ISBN 10: 1839535113 ISBN 13: 9781839535116
Language: English
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Published by The Institution of Engineering and Technology, 2022
ISBN 10: 1839535113 ISBN 13: 9781839535116
Language: English
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
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Published by The Institution of Engineering and Technology, 2022
ISBN 10: 1839535113 ISBN 13: 9781839535116
Language: English
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Condition: As New. Unread book in perfect condition.
Published by Institution of Engineering and Technology, GB, 2022
ISBN 10: 1839535113 ISBN 13: 9781839535116
Language: English
Seller: Rarewaves USA, OSWEGO, IL, U.S.A.
Hardback. Condition: New. A major use of practical predictive analytics in medicine has been in the diagnosis of current diseases, particularly through medical imaging. Now there is sufficient improvement in AI, IoT and data analytics to deal with real time problems with an increased focus on early prediction using machine learning and deep learning algorithms. With the power of artificial intelligence alongside the internet of 'medical' things, these algorithms can input the characteristics/data of their patients and get predictions of future diagnoses, classifications, treatment and costs. Evolving Predictive Analytics in Healthcare: New AI techniques for real-time interventions discusses deep learning algorithms in medical diagnosis, including applications such as Covid-19 detection, dementia detection, and predicting chemotherapy outcomes on breast cancer tumours. Smart healthcare monitoring frameworks using IoT with big data analytics are explored and the latest trends in predictive technology for solving real-time health care problems are examined. By using real-time data inputs to build predictive models, this new technology can literally 'see' your future health and allow clinicians to intervene as needed. This book is suitable reading for researchers interested in healthcare technology, big data analytics, and artificial intelligence.
Published by Inst of Engineering & Technology, 2022
ISBN 10: 1839535113 ISBN 13: 9781839535116
Language: English
Seller: Revaluation Books, Exeter, United Kingdom
Hardcover. Condition: Brand New. 300 pages. 9.50x6.50x1.00 inches. In Stock.
Published by Institution of Engineering and Technology, GB, 2022
ISBN 10: 1839535113 ISBN 13: 9781839535116
Language: English
Seller: Rarewaves.com USA, London, LONDO, United Kingdom
Hardback. Condition: New. A major use of practical predictive analytics in medicine has been in the diagnosis of current diseases, particularly through medical imaging. Now there is sufficient improvement in AI, IoT and data analytics to deal with real time problems with an increased focus on early prediction using machine learning and deep learning algorithms. With the power of artificial intelligence alongside the internet of 'medical' things, these algorithms can input the characteristics/data of their patients and get predictions of future diagnoses, classifications, treatment and costs. Evolving Predictive Analytics in Healthcare: New AI techniques for real-time interventions discusses deep learning algorithms in medical diagnosis, including applications such as Covid-19 detection, dementia detection, and predicting chemotherapy outcomes on breast cancer tumours. Smart healthcare monitoring frameworks using IoT with big data analytics are explored and the latest trends in predictive technology for solving real-time health care problems are examined. By using real-time data inputs to build predictive models, this new technology can literally 'see' your future health and allow clinicians to intervene as needed. This book is suitable reading for researchers interested in healthcare technology, big data analytics, and artificial intelligence.
Published by Institution of Engineering and Technology, GB, 2022
ISBN 10: 1839535113 ISBN 13: 9781839535116
Language: English
Seller: Rarewaves USA United, OSWEGO, IL, U.S.A.
Hardback. Condition: New. A major use of practical predictive analytics in medicine has been in the diagnosis of current diseases, particularly through medical imaging. Now there is sufficient improvement in AI, IoT and data analytics to deal with real time problems with an increased focus on early prediction using machine learning and deep learning algorithms. With the power of artificial intelligence alongside the internet of 'medical' things, these algorithms can input the characteristics/data of their patients and get predictions of future diagnoses, classifications, treatment and costs. Evolving Predictive Analytics in Healthcare: New AI techniques for real-time interventions discusses deep learning algorithms in medical diagnosis, including applications such as Covid-19 detection, dementia detection, and predicting chemotherapy outcomes on breast cancer tumours. Smart healthcare monitoring frameworks using IoT with big data analytics are explored and the latest trends in predictive technology for solving real-time health care problems are examined. By using real-time data inputs to build predictive models, this new technology can literally 'see' your future health and allow clinicians to intervene as needed. This book is suitable reading for researchers interested in healthcare technology, big data analytics, and artificial intelligence.
Published by INSTITUTION OF ENGINEERING & T, 2022
ISBN 10: 1839535113 ISBN 13: 9781839535116
Language: English
Seller: moluna, Greven, Germany
Condition: New. KlappentextThis book examines machine learning trends in predictive technology to solve real-time healthcare problems. By using real-time data inputs to build predictive models, this new technology can model disease progression, assis.
Published by Institution of Engineering and Technology, GB, 2022
ISBN 10: 1839535113 ISBN 13: 9781839535116
Language: English
Seller: Rarewaves.com UK, London, United Kingdom
Hardback. Condition: New. A major use of practical predictive analytics in medicine has been in the diagnosis of current diseases, particularly through medical imaging. Now there is sufficient improvement in AI, IoT and data analytics to deal with real time problems with an increased focus on early prediction using machine learning and deep learning algorithms. With the power of artificial intelligence alongside the internet of 'medical' things, these algorithms can input the characteristics/data of their patients and get predictions of future diagnoses, classifications, treatment and costs. Evolving Predictive Analytics in Healthcare: New AI techniques for real-time interventions discusses deep learning algorithms in medical diagnosis, including applications such as Covid-19 detection, dementia detection, and predicting chemotherapy outcomes on breast cancer tumours. Smart healthcare monitoring frameworks using IoT with big data analytics are explored and the latest trends in predictive technology for solving real-time health care problems are examined. By using real-time data inputs to build predictive models, this new technology can literally 'see' your future health and allow clinicians to intervene as needed. This book is suitable reading for researchers interested in healthcare technology, big data analytics, and artificial intelligence.
Published by Institution Of Engineering & Technology Okt 2022, 2022
ISBN 10: 1839535113 ISBN 13: 9781839535116
Language: English
Seller: AHA-BUCH GmbH, Einbeck, Germany
Buch. Condition: Neu. Neuware - This book examines machine learning trends in predictive technology to solve real-time healthcare problems. By using real-time data inputs to build predictive models, this new technology can model disease progression, assist with interventions or predict patient outcomes.
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Published by Institution of Engineering and Technology, 2022
ISBN 10: 1839535113 ISBN 13: 9781839535116
Language: English
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Published by Institution of Engineering and Technology, 2022
ISBN 10: 1839535113 ISBN 13: 9781839535116
Language: English
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Published by Institution of Engineering and Technology, 2022
ISBN 10: 1839535113 ISBN 13: 9781839535116
Language: English
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