Language: English
Published by Medical Info Science Reference, 2022
ISBN 10: 1799891720 ISBN 13: 9781799891727
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Language: English
Published by Medical Info Science Reference, 2022
ISBN 10: 1799891720 ISBN 13: 9781799891727
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Language: English
Published by Medical Info Science Reference, 2022
ISBN 10: 1799891720 ISBN 13: 9781799891727
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Condition: New.
Language: English
Published by Medical Info Science Reference, 2022
ISBN 10: 1799891720 ISBN 13: 9781799891727
Seller: GreatBookPrices, Columbia, MD, U.S.A.
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Language: English
Published by Medical Info Science Reference, 2022
ISBN 10: 1799891720 ISBN 13: 9781799891727
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Language: English
Published by Medical Information Science Reference, 2022
ISBN 10: 1799891720 ISBN 13: 9781799891727
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Add to basketGebunden. Condition: New. Focuses on technologies and emerging topics regarding innovative solutions applied to the healthcare industry, including Big Data and Artificial Intelligence for enhancing human quality of life, as well as related challenges. The book also presents research.
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Language: English
Published by Medical Information Science Reference, 2022
ISBN 10: 1799891720 ISBN 13: 9781799891727
Seller: AHA-BUCH GmbH, Einbeck, Germany
Buch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Developing new approaches and reliable enabling technologies in the healthcare industry is needed to enhance our overall quality of life and lead to a healthier, innovative, and secure society. Further study is required to ensure these current technologies, such as big data analytics and artificial intelligence, are utilized to their utmost potential and are appropriately applied to advance society. Big Data Analytics and Artificial Intelligence in the Healthcare Industry discusses technologies and emerging topics regarding reliable and innovative solutions applied to the healthcare industry and considers various applications, challenges, and issues of big data and artificial intelligence for enhancing our quality of life. Covering a range of topics such as electronic health records, machine learning, and e-health, this reference work is ideal for healthcare professionals, computer scientists, data analysts, researchers, practitioners, scholars, academicians, instructors, and students.