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Artificial Intelligence in Medicine

Joint European Conference on Artificial Intelligence in Medicine and Medical Decision Making, AIMDM'99, Aalborg, Denmark, June 20-24, 1999, Proceedings

  • Conference proceedings
  • © 1999

Overview

Editors:
  1. Werner Horn

    1. Austrian Research Institute for Artificial Intelligence, Vienna, Austria

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  2. Yuval Shahar

    1. Department of Medicine and Computer Science, Stanford University, Stanford, USA

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  3. Greger Lindberg

    1. Department of Medicine Karolinska Institutet, Huddinge University Hospital, Sweden

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  4. Steen Andreassen

    1. Department of Medical Informatics and Image Analysis, Aalborg University, Aalborg, Denmark

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  5. Jeremy Wyatt

    1. School of Public Policy, University College London, London, UK

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Part of the book series: Lecture Notes in Computer Science (LNCS, volume 1620)

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

Included in the following conference series:

Conference proceedings info: AIMDM 1999.

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Table of contents (50 papers)

  1. Model-Based Systems

    1. Integrating Deep Biomedical Models into Medical Decision Support Systems: An Interval Constraint Approach

      • Jorge Cruz, Pedro Barahona, Frédéric Benhamou
      Pages 185-194

  2. Neural Networks, Causal Probabilistic Networks

    1. A Decision Theoretic Approach to Empirical Treatment of Bacteraemia Originating from the Urinary Tract

      • Steen Andreassen, Leonard Leibovici, Henrik C. Schønheyder, Brian Kristensen, Christian Riekehr, Anders Geill Kjær et al.
      Pages 197-206

    2. An ECG Ischemic Detection System Based on Self-Organizing Maps and a Sigmoid Function Pre-processing Stage

      • E. A. Fernandez, J. Presedo, S. Barro
      Pages 207-216

    3. Neural Network Recognition of Otoneurological Vertigo Diseases with Comparison of Some Other Classification Methods

      • Martti Juhola, Jorma Laurikkala, Kati Viikki, Yrjö Auramo1, Erna Kentala, Ilmari Pyykkö
      Pages 217-226

    4. A Comparison of Linear and Non-linear Classifiers for the Detection of Coronary Artery Disease in Stress-ECG

      • Georg Dorffner, Ernst Leitgeb, Heinz Koller
      Pages 227-231

    5. The Case-Based Neural Network Model and Its Use in Medical Expert Systems

      • Wayne Goodridge, Hadrian Peter, Akin Abayomi
      Pages 232-236

  3. Knowledge Representation

    1. A Medical Ontology Library That Integrates the UMLS Metathesaurus™

      • Domenico M. Pisanelli, Aldo Gangemi, Geri Steve
      Pages 239-248

    2. The Use of the UMLS Knowledge Sources for the Design of a Domain Specific Ontology: A Practical Experience in Blood Transfusion

      • Soumeya Achour, Michel Dojat, Jean-Marc Brethon, Gil Blain, Eric Lepage
      Pages 249-253

    3. Representing Knowledge Levels in Clinical Guidelines

      • Paolo Terenziani, Paolo Raviola, Oscar Bruschi, Mauro Torchio, Marina Marzuoli, Gianpaolo Molino
      Pages 254-258

  4. Temporal Reasoning

    1. Intelligent Analysis of Clinical Time Series by Combining Structural Filtering and Temporal Abstractions

      • R. Bellazzi, C. Larizza, P. Magni, S. Montani, G. De Nicolao
      Pages 261-270

    2. Knowledge-Based Event Detection in Complex Time Series Data

      • Jim Hunter, Neil McIntosh
      Pages 271-280

    3. Abstracting Steady Qualitative Descriptions over Time from Noisy, High-Frequency Data

      • Silvia Miksch, Andreas Seyfang, Werner Horn, Christian Popow
      Pages 281-290

    4. Visualization Techniques for Time-Oriented, Skeletal Plans in Medical Therapy Planning

      • Robert Kosara, Silvia Miksch
      Pages 291-300

    5. Visualizing Temporal Clinical Data on the WWW

      • Carlo Combi, Luisa Portoni, Francesco Pinciroli
      Pages 301-311

  5. Machine Learning

    1. Machine Learning in Stepwise Diagnostic Process

      • Matjaž Kukar, Ciril Grošelj
      Pages 315-325

    2. Refinement of Neuro-psychological Tests for Dementia Screening in a Cross Cultural Population Using Machine Learning

      • Subramani Mani, Malcolm B. Dick, Michael J. Pazzani, Evelyn L. Teng, Daniel Kempler, I. Maribell Taussig
      Pages 326-335

    3. The Analysis of Head Injury Data Using Decision Tree Techniques

      • A. McQuatt, P. J. D. Andrews, D. Sleeman, V. Corruble, P. A. Jones
      Pages 336-345

    4. Machine Learning for Survival Analysis: A Case Study on Recurrence of Prostate Cancer

      • Blaž Zupan, Janez Demšar, Michael W. Kattan, J. Robert Beck, I. Bratko
      Pages 346-355

    5. ICU Patient State Characterization Using Machine Learning in a Time Series Framework

      • Daniel Calvelo, Marie-C. Chambrin, Denis Pomorski, Pierre Ravaux
      Pages 356-360

    6. Diagnostic Rules of Increased Reliability for Critical Medical Applications

      • Dragan Gamberger, Nada Lavrač, Ciril Grošelj
      Pages 361-365
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  1. Artificial Intelligence in Medicine

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Editors and Affiliations

  • Austrian Research Institute for Artificial Intelligence, Vienna, Austria

    Werner Horn

  • Department of Medicine and Computer Science, Stanford University, Stanford, USA

    Yuval Shahar

  • Department of Medicine Karolinska Institutet, Huddinge University Hospital, Sweden

    Greger Lindberg

  • Department of Medical Informatics and Image Analysis, Aalborg University, Aalborg, Denmark

    Steen Andreassen

  • School of Public Policy, University College London, London, UK

    Jeremy Wyatt

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