Title Statements
- Full title :Artificial intelligence and data mining in healthcare / Malek Masmoudi, Bassem Jarboui, Patrick Siarry, editors.
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.
Read More ↓Edition Statements
- Publication Date:2021
Publication Statements
- Publisher(s):Springer
- Place of Publication:Cham, Switzerland
- Language:eng
- Publication Date:2021
The Physical Object
- Description:1 online resource (xix, 195 pages) : : illustrations (some color)
Edition Identifiers
- ISBN:3030452409, 9783030452407
- DOI:10.1007/978-3-030-45240-7
- oclc:on1239997338
- LC Classification:R859.7.A78
- Dewey Decimal:610.28563
Table of Contents
Artificial Intelligence for Healthcare Logistics: An Overview and Research Agenda -- AI/OR Synergies of Process Mining with Optimal Planningof Patient Pathways for Effective Hospital-Wide Decision Support -- Real-Time Capacity Management and Patient Flow Optimization in Hospitals Using AI Methods -- How the Health-Care Expenditure Influences the Life Expectancy: Case Study on Russian Regions -- Operating Theater Management System: Block-Scheduling -- An Immune Memory and Negative Selection to Visualize Clinical Pathways from Electronic Health Record Data -- 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.
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