Artificial Intelligence in Medicine

1. Front Matter

   Pages I-XIV

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2. Mediated Agent Interaction

   • Enrico Coiera

   Pages 1-15

3. On Articulation and Localization - Some Sociotechnical Issues of Design, Implementation, and Evaluation of Knowledge Based Systems

   • Jos Aarts

   Pages 16-19

4. Prototype Selection and Feature Subset Selection by Estimation of Distribution Algorithms. A Case Study in the Survival of Cirrhotic Patients Treated with TIPS

   • B. Sierra, E. Lazkano, I. Inza, M. Merino, P. Larrañaga, J. Quiroga

   Pages 20-29

5. Detection of Infectious Outbreaks in Hospitals through Incremental Clustering

   • Timothy Langford, Christophe Giraud-Carrier, John Magee

   Pages 30-39

6. Mining Data from a Knowledge Management Perspective: An Application to Outcome Prediction in Patients with Resectable Hepatocellular Carcinoma

   • Riccardo Bellazzi, Ivano Azzini, Gianna Toffolo, Stefano Bacchetti, Mario Lise

   Pages 40-49

7. Discovering Associations in Clinical Data: Application to Search for Prognostic Factors in Hodgkin’s Disease

   • N. Durand, B. Crémilleux, M. Henry-Amar

   Pages 50-54

8. Visualisation of Multidimensional Data for Medical Decision Support

   • A. Rosemary Tate, Joshua Underwood, Christophe Ladroue, Rosemary Luckin, John R. Griffiths

   Pages 55-58

9. A clustering-based constructive induction method and its application to rheumatoid arthritis

   • José A. Sanandrés, Víctor Maojo, José Crespo, Agustń Gómez

   Pages 59-62

10. Improving Identification of Difficult Small Classes by Balancing Class Distribution

    • Jorma Laurikkala

    Pages 63-66

11. Credal Classification for Dementia Screening

    • Marco Zaffalon, Keith Wesnes, Orlando Petrini

    Pages 67-76

12. Evaluation of Prognostic Factors and Prediction of Chronic Wound Healing Rate by Machine Learning Tools

    • Marko Robnik-Šikonja, David Cukjati, Igor Kononenko

    Pages 77-87

13. Making Reliable Diagnoses with Machine Learning: A Case Study

    • Matjaž Kukar

    Pages 88-98

14. A Classification-Tree Hybrid Method for Studying Prognostic Models in Intensive Care

    • Ameen Abu-Hanna, Nicolette de Keizer

    Pages 99-108

15. Combining Unsupervised and Supervised Machine Learning in Analysis of the CHD Patient Database

    • Tomislav Šmuc, Dragan Gamberger, Goran Krstačić

    Pages 109-112

16. Coronary Heart Disease Patient Models Based on Inductive Machine Learning

    • Goran Krstačič, Dragan Gamberger, Tomislav Šmuc

    Pages 113-116

17. Prediction of Protein Secondary Structures of All Types Using New Hypersphere Machine Learning Method

    • Markku Siermala

    Pages 117-120

18. Integrating Different Methodologies for Insulin Therapy Support in Type 1 Diabetic Patients

    • Stefania Montani, Paolo Magni, Abdul V. Roudsari, Ewart R. Carson, Riccardo Bellazzi

    Pages 121-130

19. Diagnosing Patient State in Intensive Care Patients Using the Intelligent Ventilator (INVENT) System

    • Stephen E. Rees, Charlotte Allerød, Søren Kjærgaard, Egon Toft, Per Thorgaard, Steen Andreassen

    Pages 131-135

20. A User Interface for Executing Asbru Plans

    • Robert Kosara, Silvia Miksch

    Pages 136-139

This book constitutes the refereed proceedings of the 8th Conference on Artificial Intelligence in Medicine in Europe, AIME 2001, held in Cascais, Portugal in July 2001. The 31 revised full papers presented together with 30 posters and two invited papers were carefully reviewed and selected from 79 submissions. Among the topics addressed in their context on medical information processing are knowledge management, machine learning, data mining, decision support systems, temporal reasoning, case-based reasoning, planning and scheduling, natural language processing, computer vision, image and signal interpretation, intelligent agents, telemedicine, careflow systems, and cognitive modeling.

• Telemedicine
• agents
• artificial intelligence
• case-based reasoning
• data mining
• knowledge
• learning
• machine learning
• modeling

• Department of Computer Science, University of Pavia, Pavia, Italy

  Silvana Quaglini

• Departamento de Informática Faculdade de Ciências e Tecnologia, Universidade Nova de Lisboa, Caparica, Portugal

  Pedro Barahona

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

  Steen Andreassen

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