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Healthcare and artificial intelligence
~
Nordlinger, Bernard.
Healthcare and artificial intelligence
紀錄類型:
書目-電子資源 : Monograph/item
正題名/作者:
Healthcare and artificial intelligenceedited by Bernard Nordlinger, Cedric Villani, Daniela Rus.
其他作者:
Nordlinger, Bernard.
出版者:
Cham :Springer International Publishing :2020.
面頁冊數:
xviii, 279 p. :ill., digital ;24 cm.
Contained By:
Springer eBooks
標題:
Artificial intelligenceMedical applications.
電子資源:
https://doi.org/10.1007/978-3-030-32161-1
ISBN:
9783030321611$q(electronic bk.)
Healthcare and artificial intelligence
Healthcare and artificial intelligence
[electronic resource] /edited by Bernard Nordlinger, Cedric Villani, Daniela Rus. - Cham :Springer International Publishing :2020. - xviii, 279 p. :ill., digital ;24 cm.
Introduction -- Artificial Intelligence and Tomorrow's Health -- Databases -- Matching an Epidemiological Cohort to Medico-Administrative Databases -- Medical and Administrative Data from Health Insurance -- How the SNIIRAM-PMSI Database Enables the Study of Surgical Practices -- Hospital Databases -- The Experience of the Institut Curie.
This book provides an overview of the role of AI in medicine and, more generally, of issues at the intersection of mathematics, informatics, and medicine. It is intended for AI experts, offering them a valuable retrospective and a global vision for the future, as well as for non-experts who are curious about this timely and important subject. Its goal is to provide clear, objective, and reasonable information on the issues covered, avoiding any fantasies that the topic "AI" might evoke. In addition, the book seeks to provide a broad kaleidoscopic perspective, rather than deep technical details.
ISBN: 9783030321611$q(electronic bk.)
Standard No.: 10.1007/978-3-030-32161-1doiSubjects--Topical Terms:
237917
Artificial intelligence
--Medical applications.
LC Class. No.: R859.7.A78 / H435 2020
Dewey Class. No.: 610.285
Healthcare and artificial intelligence
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Introduction -- Artificial Intelligence and Tomorrow's Health -- Databases -- Matching an Epidemiological Cohort to Medico-Administrative Databases -- Medical and Administrative Data from Health Insurance -- How the SNIIRAM-PMSI Database Enables the Study of Surgical Practices -- Hospital Databases -- The Experience of the Institut Curie.
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