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Advanced Computational Intelligence Paradigms in Healthcare - 1 / Edition 1

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Overview

This book presents some of the most recent research results on the applications of computational intelligence in healthcare. The contents include:

  • Information model for management of clinical content
  • State-based model for management of type II diabetes
  • Case-based reasoning in medicine
  • Assessing the quality of care in artificial intelligence environment
  • Electronic medical record to examine physician decisions
  • Multi-agent systems for the management of community healthcare
  • Assistive wheelchair navigation
  • Modelling treatment processes using information extraction
  • Neonatal pain detection using face classification techniques
  • Medical education interfaces using virtual patients

The book is directed to the computer scientists, medical practitioners, scientists, professors and students of health science, computer science and related disciplines.

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Product Details

  • ISBN-13: 9783540475231
  • Publisher: Springer Berlin Heidelberg
  • Publication date: 5/4/2007
  • Series: Studies in Computational Intelligence Series , #48
  • Edition description: 2007
  • Edition number: 1
  • Pages: 290
  • Product dimensions: 6.10 (w) x 9.40 (h) x 0.90 (d)

Table of Contents

Partners Healthcare Order Set Schema: An Information Model for Management of Clinical Content.- A State-Based Model for Management of Type II Diabetes.- Case-Based Reasoning in Medicine Especially an Obituary on Lothar Gierl.- Assessing the Quality of Care for End Stage Renal Failure Patients by Means of Artificial Intelligence Methodologies.- Mining the Electronic Medical Record to Examine Physician Decisions.- Capturing and Specifying Multiagent Systems for the Management of Community Healthcare.- Assistive Wheelchair Navigation: A Cognitive View.- Modeling Treatment Processes Using Information Extraction.- to Neonatal Facial Pain Detection Using Common and Advanced Face Classification Techniques.- Medical Education Interfaces Through Virtual Patients Based on Qualitative Simulation.
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