| 9.00-9.15 | Peter Lucas and Silvia Miksch | Welcome |
| 9.15-10.00 | Pedro Laranaga | Invited Talk:
Learning Bayesian networks from data; Some applications in biomedicine |
| 10.00-10.20 | Morning Refreshments |
|
| 10.20-11.25 | Chair: Riccardo Bellazzi | Session I: Explanation and Information Retrieval |
| 10.20-10.45 | Carmen Lacave, F. Javier Diez | Explanation for causal Bayesian networks in Elvira |
| 10.45-11.10 | Emmanuel Roux, Patrice Caulier, Anne-Pascale Godillon-Maquinghen, Stephane Bouilland, Denis Bouttens | Fuzzy decision tree for the objective explanation of subjective functional evaluation: application to the upper limb |
| 11.10-11.25 | Patrick Ruch, Gilles Cohen, Mitsuko Kondo Oestreicher | Intelligent data analysis and clinical reports: applying bag-of-words approaches to corrupted collections |
| 11.25-12.20 | Chair: Werner Horn | Session II: Prognostic Models |
| 11.25-11.40 | Jung-Wook Bang, Duncan Gillies | Using Bayesian networks to model the prognosis of hepatitis C |
| 11.40-12.05 | Marion Verduijn, Niels Peek, Jaap Kloek | Predicting outcomes of cardiac surgery: modeling the interaction of risk factors |
| 12.05-12.20 | Thu Hoang, Quoc Anh Trinh, Bernard Asselain | Construction and validation of a prognostic model for metastatic breast cancer using a Bayesian neural network and regression tree |
| 12.20-14.00 | Lunch |
| 14.00-15.30 | Chair: Peter Lucas | Session III: Temporal Knowledge and Protocols |
| 14.00-14.25 | Riccardo Bellazzi, Christiana Larizza, Paolo Magni, Roberto Bellazzi | Quality assessment of dialysis services through intelligent data analysis and temporal data mining |
| 14.25-14.40 | Martin Scholz | Using real world data for modeling a protocol for ICU monitoring |
| 14.40-15.05 | Linda Peelen, Niels Peek, Ameen Abu-Hanna | Case-based prognosis in temporal domains: a case study in chronic pulmonary disease |
| 15.05-15.30 | Guy Carrault, Marie-Odile Cordier, Rene Quiniou, Feng Wang | Intelligent cardiac data analysis for diagnosis and monitoring |
| 15.30-15.50 | Afternoon Refreshments |
| 15.50-16.55 | Chair: Silvia Miksch | Session IV: Clustering and Visualisation |
| 15.50-16.15 | Dragan Gamberger, Nada Lavrac, Dietrich Wettschereck | Subgroup visualisation: a method and application in population screening |
| 16.15-16.30 | Gary Ewing, Robert Logie, Jim Hunter, Neil McIntosh, Sue Rudkin, Yvonne Freer, Lindsey Ferguson | A new measure summarising 'information' conveyed in cluster analysis of card-sort data: application to a neonatal intensive care environment |
| 16.30-16.55 | Celine Robardet, Bruno Cremillleux, Jean-Francois Boulicaut | Characterization of unsupervised clusters with the simplest association rules: application for child's meningitis |
| 16.55-17.45 | Chair: Nada Lavrac | Session V: Diagnosis |
| 16.55-17.20 | Petra Povalej, Peter Kokol, Bruno Stiglic,Irene Litvan, Dusan Flisar | Verifying clinical criteria for Parkinsonian disorders with decision trees |
| 17.20-17.45 | Andrea Sboner, Claudio Eccher, Giuseppe Zumiani, Paolo Bauer, Stefano Forti | Exploiting clinical knowledge for supporting early diagnosis of melanoma |
