Computational Intelligence in Healthcare 4

1. Front Matter

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2. Introduction

   1. Front Matter

      Pages 1-1

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   2. Advances in Computational Intelligence in Healthcare

      • Isabelle Bichindaritz, Lakhmi C. Jain

      Pages 3-7

3. Artificial Agents in Healthcare

   1. Front Matter

      Pages 9-9

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   2. Clinical Semantics

      • Jari Yli-Hietanen, Samuli Niiranen

      Pages 11-24

   3. Agent Technology and Healthcare: Possibilities, Challenges and Examples of Application

      • David Sánchez, David Isern, Antonio Moreno

      Pages 25-48

   4. Mobile Agents in Healthcare, a Distributed Intelligence Approach

      • Abraham Martín-Campillo, Carles Martínez-García, Jordi Cucurull, Ramon Martí, Sergi Robles, Joan Borrell

      Pages 49-80

   5. A Joint Bayesian Framework for MR Brain Scan Tissue and Structure Segmentation Based on Distributed Markovian Agents

      • Benoit Scherrer, Florence Forbes, Catherine Garbay, Michel Dojat

      Pages 81-101

   6. The i-Walker: An Intelligent Pedestrian Mobility Aid

      • C. Barrué, R. Annicchiarico, U. Cortés, A. Martínez-Velasco, E. X. Martín, F. Campana et al.

      Pages 103-123

4. Case-Based Reasoning in Healthcare

   1. Front Matter

      Pages 125-125

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   2. Case-Based Reasoning in the Health Sciences: Foundations and Research Directions

      • Isabelle Bichindaritz, Cindy Marling

      Pages 127-157

   3. Intelligent Signal Analysis Using Case-Based Reasoning for Decision Support in Stress Management

      • Shahina Begum, Mobyen Uddin Ahmed, Peter Funk, Ning Xiong

      Pages 159-189

   4. Case-Based Reasoning in a Travel Medicine Application

      • Kerstin Bach, Meike Reichle, Klaus-Dieter Althoff

      Pages 191-210

   5. Providing Case-Based Retrieval as a Decision Support Strategy in Time Dependent Medical Domains

      • Stefania Montani

      Pages 211-228

   6. Meta-learning for Image Processing Based on Case-Based Reasoning

      • Anja Attig, Petra Perner

      Pages 229-264

   7. Explaining Medical Model Exceptions

      • Rainer Schmidt, Olga Vorobieva

      Pages 265-287

   8. Computational Intelligence Techniques for Classification in Microarray Analysis

      • Juan F. De Paz, Javier Bajo, Sara Rodríguez, Juan M. Corchado

      Pages 289-312

5. Sample Applications and Case Studies

   1. Front Matter

      Pages 313-313

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   2. The Evolution of Healthcare Applications in the Web 2.0 Era

      • Iraklis Varlamis, Ioannis Apostolakis

      Pages 315-328

   3. Intelligent Adaptive Monitoring for Cardiac Surveillance

      • René Quiniou, Lucie Callens, Guy Carrault, Marie-Odile Cordier, Elisa Fromont, Philippe Mabo et al.

      Pages 329-346

Computational Intelligence is comparatively a new field but it has made a tremendous progress in virtually every discipline right from engineering, science, business, m- agement, aviation to healthcare. Computational intelligence already has a solid track-record of applications to healthcare, of which this book is a continuation. We would like to refer the reader to the excellent previous volumes in this series on computational intelligence in heal- care [1-3]. This book is aimed at providing the most recent advances and state of the art in the practical applications of computational intelligence paradigms in healthcare. It - cludes nineteen chapters on using various computational intelligence methods in healthcare such as intelligent agents and case-based reasoning. A number of fielded applications and case studies are presented. Highlighted are in particular novel c- putational approaches to the semantic management of health information such as in the Web 2.0, mobile agents such as in portable devices, learning agents capable of adapting to diverse clinical settings through case-based reasoning, and statistical - proaches in computational intelligence. This book is targeted towards scientists, application engineers, professors, health professionals, professors, and students. Background information on computational intelligence has been provided whenever necessary to facilitate the comprehension of a broad audience including healthcare practitioners.

• Monitor
• Telemonitoring
• Virtual Reality
• Web 2.0
• agents
• case-based reasoning
• classification
• computational intelligence
• diagnosis
• image processing
• information system
• intelligence
• management
• model
• tissue

• Institute of Technology/Computing and Software Systems, University ofWashington, Tacoma, Tacoma, USA

  Isabelle Bichindaritz

• Flinders Medical Centre, Adelaide, Australia

  Sachin Vaidya

• Royal Adelaide Hospital, Adelaide, Australia

  Ashlesha Jain

• School of Electrical and Information Engineering, University of South Australia, Australia

  Lakhmi C. Jain

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