Computational modeling and data analysis in COVID-19 research

• Material Type: 図書
• ISBN: 9780367680367 (hbk); 9780367684280 (pbk)
• ISBN (error code): 9781003137481 (ebk)
• Title: Computational modeling and data analysis in COVID-19 research
• Author/Editor: edited by Chhabi Rani Panigrahi, Bibudhendu Pati, Mamata Rath and Rajkumar Buyya
• Edition: First edition
• Series Title: Emerging trends in biomedical technologies and health informatics series
• Author Heading: Rani Panigrahi, Chhabi
• Publication, Distribution, etc.: Boca Raton, FL : CRC Press (出版)
• Publication Date: 2021
• Publication Date (W3CDTF): 2021
• Extent: xiii, 256 pages
• Size: 25 cm
• Place of Publication (Country Code): US
• Text Language Code: eng
• Content Type: text
• Media Type: unmediated
• Carrier Type: volume
• Subject Heading: Coronavirus Infections; Severe Acute Respiratory Syndrome; Computer Simulation; Models, Biological; Data Analysis; Research Design
• LCC: RA644.C67
• DDC: 616.2/4140072
• 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-D94
• 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): 031252842; http://id.ndl.go.jp/bib/031252842
• LC Control Number: 2020054427; https://lccn.loc.gov/2020054427
• Cataloging Rule: RDA
• Bibliographic Record Category (NDL): 211

• Contents: Machine learning implementations in COVID-19 / Kabita Kumari, S.K. Pahuja, and Sanjeev KumarAnalysis of COVID-19 data using consensus clustering techn...
• Summary, etc.: "This book covers recent research on the COVID-19 pandemic. It includes the analysis, implementation, usage and proposed ideas and models with archite...