Published by Cham, Springer International Publishing., 2021
ISBN 10: 3030670503 ISBN 13: 9783030670504
Language: English
Seller: Universitätsbuchhandlung Herta Hold GmbH, Berlin, Germany
First Edition
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Add to basket1st ed. 2021. XII, 323 p. Hardcover. Einband bestoßen, daher Mängelexemplar gestempelt, sonst sehr guter Zustand. Imperfect copy due to slightly bumped cover, apart from this in very good condition. Stamped. EAI/Springer Innovations in Communication and Computing. Sprache: Englisch.
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
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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
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Seller: Ria Christie Collections, Uxbridge, United Kingdom
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Published by Springer Nature Switzerland AG, Cham, 2021
ISBN 10: 3030670503 ISBN 13: 9783030670504
Language: English
Seller: Grand Eagle Retail, Mason, OH, U.S.A.
Hardcover. Condition: new. Hardcover. This book fosters a scientific debate for sophisticated approaches and cognitive technologies (such as deep learning, machine learning and advanced analytics) for enhanced healthcare services in light of the tremendous scope in the future of intelligent systems for healthcare. The authors discuss the proliferation of huge data sources (e.g. genomes, electronic health records (EHRs), mobile diagnostics, and wearable devices) and breakthroughs in artificial intelligence applications, which have unlocked the doors for diagnosing and treating multitudes of rare diseases. The contributors show how the widespread adoption of intelligent health based systems could help overcome challenges, such as shortages of staff and supplies, accessibility barriers, lack of awareness on certain health issues, identification of patient needs, and early detection and diagnosis of illnesses. This book is a small yet significant step towards exploring recent advances, disseminating state-of-the-art techniquesand deploying novel technologies in intelligent healthcare services and applications.Describes the advances of computing methodologies for life and medical science data;Presents applications of artificial intelligence in healthcare along with case studies and datasets;Provides an ideal reference for medical imaging researchers, industry scientists and engineers, advanced undergraduate and graduate students, and clinicians. This book fosters a scientific debate for sophisticated approaches and cognitive technologies (such as deep learning, machine learning and advanced analytics) for enhanced healthcare services in light of the tremendous scope in the future of intelligent systems for healthcare. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
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Published by The Institution of Engineering and Technology, 2022
ISBN 10: 1839535113 ISBN 13: 9781839535116
Language: English
Seller: Ria Christie Collections, Uxbridge, 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
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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 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.
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Published by Springer Nature Switzerland AG, Cham, 2022
ISBN 10: 3030670538 ISBN 13: 9783030670535
Language: English
Seller: Grand Eagle Retail, Mason, OH, U.S.A.
Paperback. Condition: new. Paperback. This book fosters a scientific debate for sophisticated approaches and cognitive technologies (such as deep learning, machine learning and advanced analytics) for enhanced healthcare services in light of the tremendous scope in the future of intelligent systems for healthcare. The authors discuss the proliferation of huge data sources (e.g. genomes, electronic health records (EHRs), mobile diagnostics, and wearable devices) and breakthroughs in artificial intelligence applications, which have unlocked the doors for diagnosing and treating multitudes of rare diseases. The contributors show how the widespread adoption of intelligent health based systems could help overcome challenges, such as shortages of staff and supplies, accessibility barriers, lack of awareness on certain health issues, identification of patient needs, and early detection and diagnosis of illnesses. This book is a small yet significant step towards exploring recent advances, disseminating state-of-the-art techniquesand deploying novel technologies in intelligent healthcare services and applications.Describes the advances of computing methodologies for life and medical science data;Presents applications of artificial intelligence in healthcare along with case studies and datasets;Provides an ideal reference for medical imaging researchers, industry scientists and engineers, advanced undergraduate and graduate students, and clinicians. This book fosters a scientific debate for sophisticated approaches and cognitive technologies (such as deep learning, machine learning and advanced analytics) for enhanced healthcare services in light of the tremendous scope in the future of intelligent systems for healthcare. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
Seller: Ria Christie Collections, Uxbridge, United Kingdom
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Seller: GreatBookPricesUK, Woodford Green, United Kingdom
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Seller: Books Puddle, New York, NY, U.S.A.
Condition: New. 1st ed. 2021 edition NO-PA16APR2015-KAP.
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Condition: New. 1st ed. 2021 edition NO-PA16APR2015-KAP.
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Seller: GreatBookPrices, Columbia, MD, U.S.A.
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