Deep learning techniques for biomedical and health informatics

• Material Type: 図書
• ISBN: 9783030339654; 3030339653
• ISSN (series): 2197-6503
• Title: Deep learning techniques for biomedical and health informatics
• Author/Editor: Sujata Dash, Biswa Ranjan Acharya, Mamta Mittal, Ajith Abraham, Arpad Kelemen, editors.
• Series Title: Studies in big data ; volume 68
• Title Heading: Studies in big data ; v. 68. 2197-6503
• Author Heading: Dash, Sujata, 1964-
• Publication, Distribution, etc.: Cham, Switzerland : Springer Nature (出版)
• Publication Date: [2020]
• Publication Date (W3CDTF): 2020
• Extent: xxv, 383 pages
• Other physical details: illustrations
• Size: 24 cm.
• Place of Publication (Country Code): CH
• Text Language Code: eng
• Content Type: txt : text
• Media Type: n : unmediated
• Carrier Type: nc : volume
• Subject Heading: Machine learning.; Computational intelligence.; Big data.; Artificial intelligence--Medical applications.; Deep Learning.; Medical Informatics.; Electronic Health Records.
• LCC: Q325.5
• NDLC: M121
• Target Audience: 一般
• Note (Bibliography): Includes bibliographical references.
• Holding library: 国立国会図書館
• Call No.: M121-D12
• 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): 030174579; http://id.ndl.go.jp/bib/030174579
• OCLC No.: 1121136442; https://www.worldcat.org/oclc/1121136442
• Cataloging Rule: RDA
• Bibliographic Record Category (NDL): 211

• Summary, etc.: "This book presents a collection of state-of-the-art approaches for deep-learning-based biomedical and health-related applications. The aim of healthc...