Artificial Intelligence in Medicine: 11th Conference on Artificial Intelligence in Medicine in Europe, AIME 2007, Amsterdam, The Netherlands, July 7-11, 2007, Proceedings | SpringerLink
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Artificial Intelligence in Medicine

11th Conference on Artificial Intelligence in Medicine in Europe, AIME 2007, Amsterdam, The Netherlands, July 7-11, 2007, Proceedings

  • Conference proceedings
  • © 2007

Overview

Editors:
  1. Riccardo Bellazzi
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  2. Ameen Abu-Hanna
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  3. Jim Hunter
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Part of the book series: Lecture Notes in Computer Science (LNCS, volume 4594)

Part of the book sub series: Lecture Notes in Artificial Intelligence (LNAI)

Included in the following conference series:

Conference proceedings info: AIME 2007.

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Table of contents (66 papers)

  1. Front Matter

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  2. Agent-Based Systems

    1. Front Matter

      Pages 1-1
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    2. A Human-Machine Cooperative Approach for Time Series Data Interpretation

      • Thomas Guyet, Catherine Garbay, Michel Dojat
      Pages 3-12

    3. MRF Agent Based Segmentation: Application to MRI Brain Scans

      • B. Scherrer, M. Dojat, F. Forbes, C. Garbay
      Pages 13-23

    4. R-CAST-MED: Applying Intelligent Agents to Support Emergency Medical Decision-Making Teams

      • Shizhuo Zhu, Joanna Abraham, Sharoda A. Paul, Madhu Reddy, John Yen, Mark Pfaff et al.
      Pages 24-33

    5. Knowledge-Based Modeling and Simulation of Diseases with Highly Differentiated Clinical Manifestations

      • Marjorie McShane, Sergei Nirenburg, Stephen Beale, Bruce Jarrell, George Fantry
      Pages 34-43

    6. Co-operative Agents in Analysis and Interpretation of Intracerebral EEG Activity: Application to Epilepsy

      • Mamadou Ndiaye, Abel Kinie, Jean-Jacques Montois
      Pages 44-48

    7. An Ontology-Driven Agent-Based Clinical Guideline Execution Engine

      • David Isern, David Sànchez, Antonio Moreno
      Pages 49-53

  3. Temporal Data Mining

    1. Front Matter

      Pages 55-55
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    2. An Intelligent Aide for Interpreting a Patient’s Dialysis Data Set

      • Derek Sleeman, Nick Fluck, Elias Gyftodimos, Laura Moss, Gordon Christie
      Pages 57-66

    3. Temporal Data Mining with Temporal Constraints

      • M. Campos, J. Palma, R. Marín
      Pages 67-76

    4. A Nearest Neighbor Approach to Predicting Survival Time with an Application in Chronic Respiratory Disease

      • Maurice Prijs, Linda Peelen, Paul Bresser, Niels Peek
      Pages 77-86

    5. Using Temporal Context-Specific Independence Information in the Exploratory Analysis of Disease Processes

      • Stefan Visscher, Peter Lucas, Ildikó Flesch, Karin Schurink
      Pages 87-96

    6. Discovery and Integration of Organ-Failure Episodes in Mortality Prediction

      • Tudor Toma, Ameen Abu-Hanna, Robert-Jan Bosman
      Pages 97-106

  4. Machine Learning and Knowledge Discovery

    1. Front Matter

      Pages 107-107
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    2. Contrast Set Mining for Distinguishing Between Similar Diseases

      • Petra Kralj, Nada Lavrač, Dragan Gamberger, Antonija Krstačić
      Pages 109-118

    3. Multi-resolution Image Parametrization in Stepwise Diagnostics of Coronary Artery Disease

      • Matjaž Kukar, Luka Šajn, Ciril Grošelj, Jera Grošelj
      Pages 119-129

    4. Classifying Alarms in Intensive Care - Analogy to Hypothesis Testing

      • Wiebke Sieben, Ursula Gather
      Pages 130-138

    5. Hierarchical Latent Class Models and Statistical Foundation for Traditional Chinese Medicine

      • Nevin L. Zhang, Shihong Yuan, Tao Chen, Yi Wang
      Pages 139-143

    6. Interpreting Gene Expression Data by Searching for Enriched Gene Sets

      • Igor Trajkovski, Nada Lavrač
      Pages 144-148
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