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Artificial Intelligence and Data Mining in Healthcare

  • Book
  • © 2021

Overview

Editors:
  1. Malek Masmoudi

    1. LASPI, G037, IUT de Roanne, Roanne, France

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  2. Bassem Jarboui

    1. Department of Business, Higher Colleges of Technology, Abu Dhabi, United Arab Emirates

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  3. Patrick Siarry

    1. Laboratoire LiSSi (EA 3956), Université Paris-Est Créteil Val-de-Marne, Créteil, France

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  • Presents recent work on healthcare management and engineering using AI and data mining techniques
  • Valuable for researchers and postgraduate students in computer science, information technology, industrial engineering, and applied mathematics
  • There is a growing need for intelligent decision-making techniques in healthcare

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Table of contents (9 chapters)

  1. Front Matter

    Pages i-xix
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  2. Artificial Intelligence for Healthcare Logistics: An Overview and Research Agenda

    • Melanie Reuter-Oppermann, Niklas Kühl
    Pages 1-22

  3. AI/OR Synergies of Process Mining with Optimal Planning of Patient Pathways for Effective Hospital-Wide Decision Support

    • Taïeb Mellouli, Thomas Stoeck
    Pages 23-54

  4. Real-Time Capacity Management and Patient Flow Optimization in Hospitals Using AI Methods

    • Jyoti R. Munavalli, Henri J. Boersma, Shyam Vasudeva Rao, G. G. van Merode
    Pages 55-69

  5. How the Health-Care Expenditure Influences the Life Expectancy: Case Study on Russian Regions

    • Nenad Mladenovic, Olga Rusetskaya, Souhir Elleuch, Bassem Jarboui
    Pages 71-82

  6. Operating Theater Management System: Block-Scheduling

    • Bilal Bou Saleh, Ghazi Bou Saleh, Oussama Barakat
    Pages 83-98

  7. An Immune Memory and Negative Selection to Visualize Clinical Pathways from Electronic Health Record Data

    • Mouna Berquedich, Oulaid Kamach, Malek Masmoudi, Laurent Deshayes
    Pages 99-118

  8. Optimized Medical Image Compression for Telemedicine Applications

    • Khalid M. Hosny, Asmaa M. Khalid, Ehab R. Mohamed
    Pages 119-142

  9. Online Variational Learning Using Finite Generalized Inverted Dirichlet Mixture Model with Feature Selection on Medical Data Sets

    • Meeta Kalra, Nizar Bouguila
    Pages 143-177

  10. Entropy-Based Variational Inference for Semi-Bounded Data Clustering in Medical Applications

    • Narges Manouchehri, Maryam Rahmanpour, Nizar Bouguila
    Pages 179-195
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Keywords

About this book

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.


Editors and Affiliations

  • LASPI, G037, IUT de Roanne, Roanne, France

    Malek Masmoudi

  • Department of Business, Higher Colleges of Technology, Abu Dhabi, United Arab Emirates

    Bassem Jarboui

  • Laboratoire LiSSi (EA 3956), Université Paris-Est Créteil Val-de-Marne, Créteil, France

    Patrick Siarry

Bibliographic Information

  • Book Title: Artificial Intelligence and Data Mining in Healthcare

  • Editors: Malek Masmoudi, Bassem Jarboui, Patrick Siarry

  • DOI: https://doi.org/10.1007/978-3-030-45240-7

  • Publisher: Springer Cham

  • eBook Packages: Computer Science, Computer Science (R0)

  • Copyright Information: Springer Nature Switzerland AG 2021

  • Hardcover ISBN: 978-3-030-45239-1Published: 26 January 2021

  • Softcover ISBN: 978-3-030-45242-1Published: 26 January 2022

  • eBook ISBN: 978-3-030-45240-7Published: 25 January 2021

  • Edition Number: 1

  • Number of Pages: XIX, 195

  • Number of Illustrations: 23 b/w illustrations, 39 illustrations in colour

  • Topics: Artificial Intelligence, Computational Intelligence, Health Care Management, Health Informatics

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