Machine learning for healthcare : (Record no. 71205)

000 -LEADER
fixed length control field 04016cam a2200565Ki 4500
001 - CONTROL NUMBER
control field 9780429330131
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20220711212410.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 200917s2021 flua fob 000 0 eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
ISBN 9781000221787
-- (PDF ebook)
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
ISBN 1000221784
-- (PDF ebook)
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
ISBN 9780429330131
-- (electronic bk.)
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
ISBN 0429330138
-- (electronic bk.)
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
ISBN 9781000221831
-- (electronic bk. : Mobipocket)
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
ISBN 1000221830
-- (electronic bk. : Mobipocket)
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
ISBN 9781000221886
-- (electronic bk. : EPUB)
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
ISBN 1000221881
-- (electronic bk. : EPUB)
082 04 - CLASSIFICATION NUMBER
Call Number 610.285631
245 00 - TITLE STATEMENT
Title Machine learning for healthcare :
Sub Title handling and managing data /
300 ## - PHYSICAL DESCRIPTION
Number of Pages 1 online resource :
520 ## - SUMMARY, ETC.
Summary, etc Machine Learning for Healthcare: Handling and Managing Data provides in-depth information about handling and managing healthcare data through machine learning methods. This book expresses the long-standing challenges in healthcare informatics and provides rational explanations of how to deal with them. Machine Learning for Healthcare: Handling and Managing Data provides techniques on how to apply machine learning within your organization and evaluate the efficacy, suitability, and efficiency of machine learning applications. These are illustrated in a case study which examines how chronic disease is being redefined through patient-led data learning and the Internet of Things. This text offers a guided tour of machine learning algorithms, architecture design, and applications of learning in healthcare. Readers will discover the ethical implications of machine learning in healthcare and the future of machine learning in population and patient health optimization. This book can also help assist in the creation of a machine learning model, performance evaluation, and the operationalization of its outcomes within organizations. It may appeal to computer science/information technology professionals and researchers working in the area of machine learning, and is especially applicable to the healthcare sector. The features of this book include: A unique and complete focus on applications of machine learning in the healthcare sector. An examination of how data analysis can be done using healthcare data and bioinformatics. An investigation of how healthcare companies can leverage the tapestry of big data to discover new business values. An exploration of the concepts of machine learning, along with recent research developments in healthcare sectors.
700 1# - AUTHOR 2
Author 2 Agrawal, Rashmi,
700 1# - AUTHOR 2
Author 2 Chatterjee, Jyotir Moy,
700 1# - AUTHOR 2
Author 2 Kumar, Abhishek,
700 1# - AUTHOR 2
Author 2 Rathore, Pramod Singh,
700 1# - AUTHOR 2
Author 2 Le, Dac-Nhuong,
856 40 - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier https://www.taylorfrancis.com/books/9780429330131
856 42 - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier http://www.oclc.org/content/dam/oclc/forms/terms/vbrl-201703.pdf
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Koha item type eBooks
264 #1 -
-- Boca Raton :
-- Chapman & Hall/CRC,
-- 2021.
336 ## -
-- text
-- txt
-- rdacontent
337 ## -
-- computer
-- c
-- rdamedia
338 ## -
-- online resource
-- cr
-- rdacarrier
588 ## -
-- OCLC-licensed vendor bibliographic record.
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Medical informatics.
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Machine learning.
650 #7 - SUBJECT ADDED ENTRY--SUBJECT 1
-- COMPUTERS / Bioinformatics
650 #7 - SUBJECT ADDED ENTRY--SUBJECT 1
-- COMPUTERS / Database Management / Data Mining
650 #7 - SUBJECT ADDED ENTRY--SUBJECT 1
-- COMPUTERS / Machine Theory

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