Skip to main content

Artificial Intelligence and Data Mining in Healthcare

  • Book
  • © 2021

Overview

  • 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

This is a preview of subscription content, log in via an institution to check access.

Access this book

Subscribe and save

Springer+ Basic
$34.99 /Month
  • Get 10 units per month
  • Download Article/Chapter or eBook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

eBook USD 129.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book USD 169.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book USD 169.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Other ways to access

Licence this eBook for your library

Institutional subscriptions

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.


Similar content being viewed by others

Keywords

Table of contents (9 chapters)

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

Publish with us