Intelligent computing applications for COVID-19 : predictions, diagnosis, and prevention

• Material Type: 図書
• ISBN: 9780367692476 (hardback); 9780367692483 (paperback); 9781003141105 (ebook)
• Title: Intelligent computing applications for COVID-19 : predictions, diagnosis, and prevention
• Author/Editor: edited by Tanzila Saba, Amjad Rehman Khan
• Edition: First edition
• Series Title: Innovations in health informatics and healthcare: using artificial intelligence and smart computing
• Author Heading: Saba, Tanzila; Khan, Amjad Rehman
• Publication, Distribution, etc.: Boca Raton : CRC Press, Taylor & Francis Group (出版)
• Publication Date: 2021
• Publication Date (W3CDTF): 2021
• Extent: xv, 305 pages
• Other physical details: illustrations, maps
• Size: 25 cm
• Place of Publication (Country Code): US
• Text Language Code: eng
• Content Type: text
• Media Type: unmediated
• Carrier Type: volume
• Subject Heading: COVID-19 (Disease)--Epidemiology--Data processing; COVID-19 (Disease)--Epidemiology--Simulation methods; COVID-19 (Disease)--Diagnosis--Data processing; COVID-19 (Disease)--Diagnosis--Simulation methods; Artificial intelligence--Medical applications
• LCC: RA644.C67
• DDC: 614.5/924140285
• NDLC: EG244
• Target Audience: 一般
• Note (Bibliography): Includes bibliographical references and index
• Holding library: 国立国会図書館
• Call No.: EG244-D181
• Data Provider (Database): 国立国会図書館 : 国立国会図書館蔵書; https://ndlsearch.ndl.go.jp
• Bibliographic ID (NDL): 031427800; http://id.ndl.go.jp/bib/031427800
• LC Control Number: 2021007042; https://lccn.loc.gov/2021007042
• Cataloging Rule: RDA
• Bibliographic Record Category (NDL): 211

• Summary, etc.: "Accurate estimation, diagnosis, and prevention of COVID-19 is a global challenge for healthcare organizations. Innovative measures can introduce and ...