8. AIME 2001: Cascais, Portugal

• Enrico W. Coiera:
  Mediated Agent Interaction. 1-15
  
• Jos Aarts:
  On Articulation and Localization - Some Sociotechnical Issues of Design, Implementation and Evaluation of Knowledge Based Systems. 16-19
  
• Basilio Sierra, Elena Lazkano, Iñaki Inza, Marisa Merino, Pedro Larrañaga, Jorge Quiroga:
  Prototype Selection and Feature Subset Selection by Estimation of Distribution Algorithms. A Case Study in the Survival of Cirrhotic Patients Treated with TIPS. 20-29
  
• Timothy Langford, Christophe G. Giraud-Carrier, John Magee:
  Detection of Infectious Outbreaks in Hospitals through Incremental Clustering. 30-39
  
• Riccardo Bellazzi, Ivano Azzini, Gianna Toffolo, Stefano Bacchetti, Mario Lise:
  Mining Data from a Knowledge Management Perspective: An Application to Outcome Prediction in Patients with Resectable Hepatocellular Carcinoma. 40-49
  
• Nicolas Durand, Bruno Crémilleux, M. Henry-Amar:
  Discovering Associations in Clinical Data: Application to Search for Prognostic Factors in Hodgkin's Disease. 50-54
  
• Anne Rosemary Tate, Joshua Underwood, Christophe Ladroue, Rosemary Luckin, John R. Griffiths:
  Visualisation of Multidimensional Data for Medical Decision Support. 55-58
  
• José A. Sanandrés, Victor Maojo, José Crespo, Agustín Gómez:
  A Clustering-Based Constructive Induction Method and Its Application to Rheumatoid Arthritis. 59-62
  
• Jorma Laurikkala:
  Improving Identification of Difficult Small Classes by Balancing Class Distribution. 63-66
  
• Marco Zaffalon, Keith Wesnes, Orlando Petrini:
  Credal Classification for Dementia Screening. 67-76
  
• Marko Robnik-Sikonja, David Cukjati, Igor Kononenko:
  Evaluation of Prognostic Factors and Prediction of Chronic Wound Healing Rate by Machine Learning Tools. 77-87
  
• Matjaz Kukar:
  Making Reliable Diagnoses with Machine Learning: A Case Study. 88-98
  
• Ameen Abu-Hanna, Nicolette de Keizer:
  A Classification-Tree Hybrid Method for Studying Prognostic Models in Intensive Care. 99-108
  
• Tomislav Smuc, Dragan Gamberger, Goran Krstacic:
  Combining Unsupervised and Supervised Machine Learning. 109-112
  
• Goran Krstacic, Dragan Gamberger, Tomislav Smuc:
  Coronary Heart Disease Patient Models Based on Inductive Machine Learning. 113-116
  
• Markku Siermala:
  Prediction of Protein Secondary Structures of All Types Using New Hypersphere Machine Learning Method. 117-120
  
• Stefania Montani, Paolo Magni, Abdul V. Roudsari, Ewart R. Carson, Riccardo Bellazzi:
  Integrating Different Methodologies for Insulin Therapy Support in Type 1 Diabetic Patients. 121-130
  
• Stephen E. Rees, Charlotte Allerød, Søren Kjærgaard, Egon Toft, Per Thorgaard, Steen Andreassen:
  Diagnosing Patient State in Intensive Care Patients Using the Intelligent Ventilator (INVENT) System. 131-135
  
• Robert Kosara, Silvia Miksch:
  A User Interface for Executing Asbru Plans. 136-139
  
• David Riaño, Susana Prado:
  Improving HISYS1 with a Decision Support System. 140-143
  
• Paola Baiardi, Valter Piazza, Maria C. Mazzoleni:
  Diagnosis of Iron-Deficiency Anemia in Hemodialyzed Patients through Support Vector Machines Technique. 144-147
  
• Mauro Giacomini, Raffaella Michelini, Francesca Deantoni, Carmelina Ruggiero:
  A Visual Tool for a User-Friendly Artificial Neural Network Based Decision Support System in Medicine. 148-151
  
• Rajai El Dajani, Maryvonne Miquel, Marie-Claire Forlini, Paul Rubel:
  Modeling of Ventricular Repolarisation Time Series by Multi-layer Perceptrons. 152-155
  
• Peter J. F. Lucas:
  Expert Knowledge and Its Role in Learning Bayesian Networks in Medicine: An Appraisal. 156-166
  
• Steen Andreassen, Marko Suojanen, Björn Falck, Kristian G. Olesen:
  Improving the Diagnostic Performance of MUNIN by Remodelling of the Diseases. 167-176
  
• Peter Antal, Geert Fannes, Bart De Moor, Joos Vandewalle, Yves Moreau, Dirk Timmerman:
  Extended Bayesian Regression Models: A Symbiotic Application of Belief Networks and Multilayer Perceptrons for the Classification of Ovarian Tumors. 177-187
  
• Linda C. van der Gaag, C. L. M. Witteman, Silja Renooij, Michael Egmont-Petersen:
  The Effects of Disregarding Test Characteristics in Probabilistic Networks. 188-198
  
• Joachim Horn, Thomas Birkhölzer, Oliver Hogl, Marco Pellegrino, Ruxandra Scheiterer, Kai-Uwe Schmidt, Volker Tresp:
  Knowledge Acquisition and Automated Generation of Bayesian Networks for a Medical Dialogue and Advisory System. 199-202
  
• M. Elena Hernando, Enrique J. Gómez, Francisco del Pozo:
  Educational Tool for Diabetic Patients Based on Causal Probabilistic Networks. 203-206
  
• Severino F. Galán, Francisco Aguado, Francisco Javier Díez, José Mira:
  NasoNet, Joining Bayesian Networks and Time to Model Nasopharyngeal Cancer Spread. 207-216
  
• Andreas Seyfang, Silvia Miksch, Werner Horn, Michael S. Urschitz, Christian Popow, Christian F. Poets:
  Using Time-Oriented Data Abstraction Methods to Optimize Oxygen Supply for Neonates. 217-226
  
• Luca Chittaro, Carlo Combi:
  Visual Definition of Temporal Clinical Abstractions: A User Interface Based on Novel Metaphors. 227-230
  
• Nicolette de Bruijn, Peter J. F. Lucas, Karin Schurink, Marc Bonten, Andy Hoepelman:
  Using Temporal Probabilistic Knowledge for Medical Decision Making. 231-234
  
• Maríano Javier Cabrero Canosa, María del Mar Castro Pereiro, Marta Graña Ramos, Elena Hernández-Pereira, Vicente Moret-Bonillo:
  Temporal Issues in the Intelligent Interpretation of the Sleep Apnea Syndrome. 235-238
  
• Sanjay Modgil, Peter Hammond:
  Generating Symbolic and Natural Language Partial Solutions for Inclusion in Medical Plans. 239-248
  
• Patrick Ruch, Robert H. Baud, Antoine Geissbühler, Christian Lovis, Anne-Marie Rassinoux, Alain Rivière:
  Using Part-of-Speech and Word-Sense Disambiguation for Boosting String-Edit Distance Spelling Correction. 249-257
  
• Martin Romacker, Udo Hahn:
  Semantic Interpretation of Medical Language - Quantitative Analysis and Qualitative Yield. 258-267
  
• Cungen Cao:
  Medical Knowledge Acquisition from the Electronic Encyclopedia of China. 268-271
  
• John Fox, David Glasspool, Jonathan Bury:
  Quantitative and Qualitative Approaches to Reasoning under Uncertainty in Medical Decision Making. 272-282
  
• Agnieszka Onisko, Peter J. F. Lucas, Marek J. Druzdzel:
  Comparison of Rule-Based and Bayesian Network Approaches in Medical Diagnostic Systems. 283-292
  
• Stefan Schulz, Udo Hahn:
  Parts, Locations, and Holes - Formal Reasoning about Anatomical Structures. 293-303
  
• Blaz Zupan, Ivan Bratko, Janez Demsar, J. Robert Beck, Adam Kuspa, Gad Shaulsky:
  Abductive Inference of Genetic Networks. 304-313
  
• Alan L. Rector, Peter D. Johnson, Samson W. Tu, Chris Wroe, Jeremy Rogers:
  Interface of Inference Models with Concept and Medical Record Models. 314-323
  
• Rodrigo Martínez-Béjar, Francisca Ibáñez-Cruz, Paul Compton, Jesualdo Tomás Fernández-Breis, Manuel De las Heras-González:
  Integrating Ripple Down Rules with Ontologies in an Oncology Domain. 324-327
  
• Rolf Grütter, Claus Eikemeier:
  Towards a Simple Ontology Definition Language (SOntoDL) for a Semantic Web of Evidence-Based Medical Information. 328-331
  
• Cláudia Antunes, João P. Martins:
  Knowledge Acquisition System to Support Low Vision Consultation. 332-338
  
• Radim Sára, Daniel Smutek, Petr Sucharda, Stepán Svacina:
  Systematic Construction of Texture Features for Hashimoto's Lymphocytic Thyroiditis Recognition from Sonographic Images. 339-348
  
• Nathalie Richard, Michel Dojat, Catherine Garbay:
  Dynamic Adaptation of Cooperative Agents for MRI Brain Scans Segmentation. 349-358
  
• Olivier Dameron, Bernard Gibaud, Xavier Morandi:
  Numeric and Symbolic Knowledge Representation of Cortex Anatomy Using Web Technologies. 359-368
  
• Andreas Alexander Albrecht, Eike Hein, Kathleen Steinhöfel, Matthias Taupitz, C. K. Wong:
  Depth-Four Threshold Circuits for Computer-Assisted X-ray Diagnosis. 369-373
  
• Antonio Moreno, Aïda Valls, Jaime Bocio:
  Management of Hospital Teams for Organ Transplants Using Multi-agent Systems. 374-383
  
• Diego Marchetti, Giordano Lanzola, Mario Stefanelli:
  An AI-Based Approach to Support Communication in Health Care Organizations. 384-394
  
• Hans Schlenker, Hans-Joachim Goltz, Joerg-Wilhelm Oestmann:
  TAME. 395-404
  
• Ana María Monteiro, Jacques Wainer:
  A Conceptual Framework to Model Chronic and Long-Term Diseases. 405-408
  
• Kerstin Faber, Dirk Krechel, Daniel Reidenbach, Aldo von Wangenheim, Paulo Roberto Wille:
  Modelling of Radiological Examinations with POKMAT, a Process Oriented Knowledge Management Tool. 409-412
  
• Arantza Aldea, Beatriz López, Antonio Moreno, David Riaño, Aïda Valls:
  A Multi-agent System for Organ Transplant Co-ordination. 413-416
  
• Julien Balter, Annick Labarre-Vila, Danielle Ziébelin, Catherine Garbay:
  A Platform Integrating Knowledge and Data Management for EMG Studies. 417-420
  
• Brigitte Séroussi, Jacques Bouaud, Éric-Charles Antoine, Laurent Zelek, Marc Spielmann:
  Using ONCODOC as a Computer-Based Eligibility Screening System to Improve Accrual onto Breast Cancer Clinical Trials. 421-430
  
• Mar Marcos, Geert Berger, Frank van Harmelen, Annette ten Teije, Hugo Roomans, Silvia Miksch:
  Using Critiquing for Improving Medical Protocols: Harder than It Seems. 431-441
  
• Silvana Quaglini, Carla Rognoni, Anna Cavallini, Giuseppe Micieli:
  Evaluating the Impact of Clinical Practice Guidelines on Stroke Outcomes. 442-452
  
• Henry W. W. Potts, Jeremy C. Wyatt, Douglas G. Altman:
  Challenges in Evaluating Complex Decision Support Systems: Lessons from Design-a-Trial. 453-456
  
• Linda C. van der Gaag, Silja Renooij:
  On the Evaluation of Probabilistic Networks. 457-461
  
• Rainer Schmidt, Dagmar Steffen, Lothar Gierl:
  Evaluation of a Case-Based Antibiotics Therapy Adviser. 462-466
  

Last update Sun May 19 21:31:19 2013 CET by the DBLP Team — Data released under the ODC-BY 1.0 license — See also our legal information page