Machine Learning for Multimodal Healthcare Data (Record no. 87020)

000 -LEADER
fixed length control field 02780nam a22005295i 4500
001 - CONTROL NUMBER
control field 978-3-031-47679-2
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20240730170522.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 231125s2024 sz | s |||| 0|eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
ISBN 9783031476792
-- 978-3-031-47679-2
082 04 - CLASSIFICATION NUMBER
Call Number 610,285
245 10 - TITLE STATEMENT
Title Machine Learning for Multimodal Healthcare Data
Sub Title First International Workshop, ML4MHD 2023, Honolulu, Hawaii, USA, July 29, 2023, Proceedings /
250 ## - EDITION STATEMENT
Edition statement 1st ed. 2024.
300 ## - PHYSICAL DESCRIPTION
Number of Pages X, 190 p. 44 illus., 38 illus. in color.
490 1# - SERIES STATEMENT
Series statement Lecture Notes in Computer Science,
520 ## - SUMMARY, ETC.
Summary, etc This book constitutes the proceedings of the First International Workshop on Machine Learning for Multimodal Healthcare Date, ML4MHD 2023, held in Honolulu, Hawaii, USA, in July 2023. The 18 full papers presented were carefully reviewed and selected from 30 submissions. The workshop's primary objective was to bring together experts from diverse fields such as medicine, pathology, biology, and machine learning. With the aim to present novel methods and solutions that address healthcare challenges, especially those that arise from the complexity and heterogeneity of patient data.
700 1# - AUTHOR 2
Author 2 Maier, Andreas K.
700 1# - AUTHOR 2
Author 2 Schnabel, Julia A.
700 1# - AUTHOR 2
Author 2 Tiwari, Pallavi.
700 1# - AUTHOR 2
Author 2 Stegle, Oliver.
856 40 - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier https://doi.org/10.1007/978-3-031-47679-2
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Koha item type eBooks
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-- Cham :
-- Springer Nature Switzerland :
-- Imprint: Springer,
-- 2024.
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-- computer
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-- rdamedia
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-- online resource
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-- text file
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650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Medical informatics.
650 14 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Health Informatics.
830 #0 - SERIES ADDED ENTRY--UNIFORM TITLE
-- 1611-3349 ;
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