Artificial intelligence and data mining in healthcare /

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Bibliographic Details
Imprint:Cham, Switzerland : Springer, [2021]
Description:1 online resource (xix, 195 pages) : illustrations (some color)
Language:English
Subject:
Format: E-Resource Book
URL for this record:http://pi.lib.uchicago.edu/1001/cat/bib/12611180
Hidden Bibliographic Details
Other authors / contributors:Masmoudi, Malek, editor.
Jarboui, Bassem, editor.
Siarry, Patrick, editor.
ISBN:3030452409
9783030452407
3030452395
9783030452391
Notes:Includes bibliographical references.
Online resource; title from PDF title page (SpringerLink, viewed March 15, 2021).
Summary:This book presents recent work on healthcare management and engineering using artificial intelligence and data mining techniques. Specific topics covered in the contributed chapters include predictive mining, decision support, capacity management, patient flow optimization, image compression, data clustering, and feature selection. The content will be valuable for researchers and postgraduate students in computer science, information technology, industrial engineering, and applied mathematics.
Other form:Print version: 9783030452391
Standard no.:10.1007/978-3-030-45240-7