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Artificial intelligence and data min...

Jarboui, Bassem.

Artificial intelligence and data mining in healthcare

Record Type:	Electronic resources : Monograph/item
Title/Author:	Artificial intelligence and data mining in healthcareedited by Malek Masmoudi, Bassem Jarboui, Patrick Siarry.
other author:	Masmoudi, Malek.
Published:	Cham :Springer International Publishing :2021.
Description:	xix, 195 p. :ill. (some col.), digital ;24 cm.
Contained By:	Springer Nature eBook
Subject:	Artificial intelligenceMedical applications.
Online resource:	https://doi.org/10.1007/978-3-030-45240-7
ISBN:	9783030452407$q(electronic bk.)

Artificial intelligence and data mining in healthcare
Artificial intelligence and data mining in healthcare[electronic resource] /edited by Malek Masmoudi, Bassem Jarboui, Patrick Siarry. - Cham :Springer International Publishing :2021. - xix, 195 p. :ill. (some col.), digital ;24 cm.

Artificial Intelligence for Healthcare Logistics: An Overview and Research Agenda -- Synergy Between Predictive Mining and Prescriptive Planning of Complex Patient Pathways Considering Process Discrepancies for Effective Hospital-Wide Decision Support -- Real-Time Capacity Management and Patient Flow Optimization in Hospitals Using AI Methods -- How Healthcare Expenditure Influences Life Expectancy: Case Study on Russian Regions -- Operating Theater Management System: Block-Scheduling -- An Immune Memory and a Negative Selection to Visualize Clinical Pathways from Electronic Health Records -- Optimized Medical Images Compression for Telemedicine Applications -- Online Variational Learning Using Finite Generalized Inverted Dirichlet Mixture Model with Feature Selection on Medical Data Sets -- Entropy-Based Variational Inference for Semi-bounded Data Clustering in Medical Applications.

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.

ISBN: 9783030452407$q(electronic bk.)

Standard No.: 10.1007/978-3-030-45240-7doiSubjects--Topical Terms:

237917
Artificial intelligence
--Medical applications.

LC Class. No.: R859.7.A78 / A77 2021

Dewey Class. No.: 610.28563

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520 $a 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.
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700 1 $a Masmoudi, Malek. $3 889956
700 1 $a Jarboui, Bassem. $3 699251
700 1 $a Siarry, Patrick. $3 243393
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