Machine learning and analytics in healthcare systems : principles and applications First editlion (Green engineering and technology : concepts and applications)

Machine learning and analytics in healthcare systems : principles and applications

First editlion

(Green engineering and technology : concepts and applications)

Call No. (NDL): M121-D50
Bibliographic ID of National Diet Library: 031389859

Material type: 図書

Author: edited by Himani Bansal, Balamurugan Balusamy, T. Poongodi, and Firoz Khan KP

Publisher: CRC Press, Taylor & Francis Group

Publication date: 2021

Material Format: Paper

Capacity, size, etc.: xii, 261 pages ; 24 cm

NDC: -

View All

Detailed bibliographic record

Summary, etc.：: "This book provides applications of machine learning in healthcare systems and seeks to close the gap between engineering and medicine. It will combin...

Search by Bookstore

Holdings of Libraries in Japan

This page shows libraries in Japan other than the National Diet Library that hold the material.

List of Cooperating Institutions and Databases

Please contact your local library for information on how to use materials or whether it is possible to request materials from the holding libraries.

other

CiNii Research
Search Service
Paper
You can check the holdings of institutions and databases with which CiNii Research is linked at the site of CiNii Research.
Check the holdings of this book

Search by Bookstore

Bibliographic Record

You can check the details of this material, its authority (keywords that refer to materials on the same subject, author's name, etc.), etc.

Paper

Material Type: 図書
ISBN: 9780367487935 (hardback)
9781003185246 (ebook)
Title: Machine learning and analytics in healthcare systems : principles and applications
Author/Editor: edited by Himani Bansal, Balamurugan Balusamy, T. Poongodi, and Firoz Khan KP
Edition: First editlion
Series Title: Green engineering and technology : concepts and applications
Author Heading: Himani, Bansal
Publication, Distribution, etc.: Boca Raton : CRC Press, Taylor & Francis Group (出版)
Publication Date: 2021
Publication Date (W3CDTF): 2021
Extent: xii, 261 pages
Size: 24 cm
Place of Publication (Country Code): US
Text Language Code: eng
Content Type: text
Media Type: unmediated
Carrier Type: volume
Subject Heading: Machine learning
Medical informatics
LCC: Q325.5
DDC: 006.3/1
NDLC: M121
Target Audience: 一般
Note (Bibliography): Includes bibliographical references and index
Holding library: 国立国会図書館
Call No.: M121-D50
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): 031389859
http://id.ndl.go.jp/bib/031389859
LC Control Number: 2021000895
https://lccn.loc.gov/2021000895
Cataloging Rule: RDA
Bibliographic Record Category (NDL): 211