10. AIME 2005: Aberdeen, UK

Invited Talks

• Frank van Harmelen:
  Ontology Mapping: A Way Out of the Medical Tower of Babel? 3-6
  
• Paul Lukowicz:
  Human Computer Interaction in Context Aware Wearable Systems. 7-10
  

Temporal Representation and Reasoning

• S. Sharshar, L. Allart, Marie-Christine Chambrin:
  A New Approach to the Abstraction of Monitoring Data in Intensive Care. 13-22
  
• Lucia Sacchi, Riccardo Bellazzi, Cristiana Larizza, Riccardo Porreca, Paolo Magni:
  Learning Rules with Complex Temporal Patterns in Biomedical Domains. 23-32
  
• Silvana Badaloni, Marco Falda:
  Discriminating Exanthematic Diseases from Temporal Patterns of Patient Symptoms. 33-42
  
• Michael Ramati, Yuval Shahar:
  Probabilistic Abstraction of Multiple Longitudinal Electronic Medical Records. 43-47
  
• Stefan Visscher, Peter J. F. Lucas, Karin Schurink, Marc Bonten:
  Using a Bayesian-Network Model for the Analysis of Clinical Time-Series Data. 48-52
  
• Barry Nannings, Ameen Abu-Hanna, Robert-Jan Bosman:
  Data-Driven Analysis of Blood Glucose Management Effectiveness. 53-57
  
• Paolo Terenziani, Richard T. Snodgrass, Alessio Bottrighi, Mauro Torchio, Gianpaolo Molino:
  Extending Temporal Databases to Deal with Telic/Atelic Medical Data. 58-66
  
• Marion Verduijn, Niels Peek, Frans Voorbraak, Evert de Jonge, Bas A. de Mol:
  Dichotomization of ICU Length of Stay Based on Model Calibration. 67-76
  

Decision Support Systems

• Petr Berka, Vladimír Las, Marie Tomecková:
  AtherEx: An Expert System for Atherosclerosis Risk Assessment. 79-88
  
• Silvana Quaglini, Silvia Panzarasa, Anna Cavallini, Giuseppe Micieli, Corrado Pernice, Mario Stefanelli:
  Smooth Integration of Decision Support into an Existing Electronic Patient Record. 89-93
  
• Douglas D. Dankel II, María Ósk Kristmundsdóttir:
  REPS: A Rehabilitation Expert System for Post-stroke Patients. 94-98
  

Clinical Guidelines and Protocols

• Christian Fuchsberger, Jim Hunter, Paul McCue:
  Testing Asbru Guidelines and Protocols for Neonatal Intensive Care. 101-110
  
• Liliane Pellegrin, Nathalie Bonnardel, François Antonini, Jacques Albanèse, Claude Martins, Hervé Chaudet:
  EORCA: A Collaborative Activities Representation for Building Guidelines from Field Observations. 111-120
  
• Radu Serban, Annette ten Teije, Mar Marcos, Cristina Polo-Conde, Kitty Rosenbrand, Jolanda Wittenberg, Joyce van Croonenborg:
  Design Patterns for Modelling Guidelines. 121-125
  
• Monika Moser, Silvia Miksch:
  Improving Clinical Guideline Implementation Through Prototypical Design Patterns. 126-130
  
• Brigitte Séroussi, Jacques Bouaud, Jean-Jacques Vieillot:
  Automatic Derivation of a Decision Tree to Represent Guideline-Based Therapeutic Strategies for the Management of Chronic Diseases. 131-135
  
• Stefania Montani, Paolo Terenziani, Alessio Bottrighi:
  Exploiting Decision Theory for Supporting Therapy Selection in Computerized Clinical Guidelines. 136-140
  
• Diego Sona, Paolo Avesani, Robert Moskovitch:
  Helping Physicians to Organize Guidelines Within Conceptual Hierarchies. 141-145
  
• Andreas Seyfang, Silvia Miksch, Cristina Polo-Conde, Jolanda Wittenberg, Mar Marcos, Kitty Rosenbrand:
  MHB - A Many-Headed Bridge Between Informal and Formal Guideline Representations. 146-150
  
• Paolo Terenziani, Stefania Montani, Alessio Bottrighi, Gianpaolo Molino, Mauro Torchio:
  Clinical Guidelines Adaptation: Managing Authoring and Versioning Issues. 151-155
  
• Mor Peleg, Rory Steele, Richard Thomson, Vivek Patkar, Tony Rose, John Fox:
  Open-Source Publishing of Medical Knowledge for Creation of Computer-Interpretable Guidelines. 156-160
  
• Arjen Hommersom, Peter J. F. Lucas, Patrick van Bommel, Theo P. van der Weide:
  A History-Based Algebra for Quality-Checking Medical Guidelines. 161-165
  
• Ohad Young, Yuval Shahar:
  The Spock System: Developing a Runtime Application Engine for Hybrid-Asbru Guidelines. 166-170
  
• Kirsty Bradbrook, Graham Winstanley, David Glasspool, John Fox, Richard N. Griffiths:
  AI Planning Technology as a Component of Computerised Clinical Practice Guidelines. 171-180
  
• Katharina Kaiser, Cem Akkaya, Silvia Miksch:
  Gaining Process Information from Clinical Practice Guidelines Using Information Extraction. 181-190
  
• Radu Serban, Annette ten Teije, Frank van Harmelen, Mar Marcos, Cristina Polo-Conde:
  Ontology-Driven Extraction of Linguistic Patterns for Modelling Clinical Guidelines. 191-200
  
• Marjolein van Gendt, Annette ten Teije, Radu Serban, Frank van Harmelen:
  Formalising Medical Quality Indicators to Improve Guidelines. 201-210
  

Ontology and Terminology

• Anand Kumar, Barry Smith:
  Oncology Ontology in the NCI Thesaurus. 213-220
  
• Srinandan Dasmahapatra, David Dupplaw, Bo Hu, Paul H. Lewis, Nigel Shadbolt:
  Ontology-Mediated Distributed Decision Support for Breast Cancer. 221-225
  
• Julie Bourbeillon, Catherine Garbay, Joëlle Simony-Lafontaine, Françoise Giroud:
  Multimedia Data Management to Assist Tissue Microarrays Design. 226-230
  
• Audrey Baneyx, Jean Charlet, Marie-Christine Jaulent:
  Building Medical Ontologies Based on Terminology Extraction from Texts: Methodological Propositions. 231-235
  
• Vincent Claveau, Pierre Zweigenbaum:
  Translating Biomedical Terms by Inferring Transducers. 236-240
  
• Michel C. A. Klein, Zharko Aleksovski:
  Using Lexical and Logical Methods for the Alignment of Medical Terminologies. 241-245
  
• Patrick Ruch, Robert H. Baud, Johan Marty, Antoine Geissbühler, Imad Tbahriti, Anne-Lise Veuthey:
  Latent Argumentative Pruning for Compact MEDLINE Indexing. 246-250
  
• Aurélie Névéol, Vincent Mary, Arnaud Gaudinat, Célia Boyer, Alexandrina Rogozan, Stéfan Jacques Darmoni:
  A Benchmark Evaluation of the French MeSH Indexers. 251-255
  
• Alexandros G. Valarakos, Vangelis Karkaletsis, Dimitra Alexopoulou, Elsa Papadimitriou, Constantine D. Spyropoulos:
  Populating an Allergens Ontology Using Natural Language Processing and Machine Learning Techniques. 256-265
  
• Heinrich Herre, Barbara Heller:
  Ontology of Time and Situoids in Medical Conceptual Modeling. 266-275
  
• Leonas Ustinovichius, Robert Balcevich, Dmitry Kochin, Ieva Sliesoraityte:
  The Use of Verbal Classification for Determining the Course of Medical Treatment by Medicinal Herbs. 276-285
  

Case-Based Reasoning, Signal Interpretation, Visual Mining

• Monica H. Ou, Geoff A. W. West, Mihai Lazarescu, Chris Clay:
  Interactive Knowledge Validation in CBR for Decision Support in Medicine. 289-299
  
• Rainer Schmidt, Olga Vorobieva:
  Adaptation and Medical Case-Based Reasoning Focusing on Endocrine Therapy Support. 300-309
  
• Alberto Faro, Daniela Giordano, Manuela Pennisi, Giacomo Scarciofalo, Concetto Spampinato, Francesco Tramontana:
  Transcranial Magnetic Stimulation (TMS) to Evaluate and Classify Mental Diseases Using Neural Networks. 310-314
  
• Umberto Castellani, Carlo Combi, Pasquina Marzola, Vittorio Murino, Andrea Sbarbati, Marco Zampieri:
  Towards Information Visualization and Clustering Techniques for MRI Data Sets. 315-319
  

Computer Vision and Imaging

• Liliana Ironi, Stefania Tentoni:
  Electrocardiographic Imaging: Towards Automated Interpretation of Activation Maps. 323-332
  
• Daniela Giordano, Rosalia Leonardi, Francesco Maiorana, Gabriele Cristaldi, Maria Luisa Distefano:
  Automatic Landmarking of Cephalograms by Cellular Neural Networks. 333-342
  
• Peter Haddawy, Matthew N. Dailey, Ploen Kaewruen, Natapope Sarakhette:
  Anatomical Sketch Understanding: Recognizing Explicit and Implicit Structure. 343-352
  
• Jeong-Sik Kim, Yong-Guk Kim, Soo-Mi Choi, Myoung-Hee Kim:
  Morphometry of the Hippocampus Based on a Deformable Model and Support Vector Machines. 353-362
  
• Luka Sajn, Matjaz Kukar, Igor Kononenko, Metka Milcinski:
  Automatic Segmentation of Whole-Body Bone Scintigrams as a Preprocessing Step for Computer Assisted Diagnostics. 363-372
  

Knowledge Management

• Chris Reed, Brian Boswell, Ron Neville:
  Multi-agent Patient Representation in Primary Care. 375-384
  
• Froduald Kabanza, Guy Bisson:
  Clinical Reasoning Learning with Simulated Patients. 385-394
  
• Dmitry Kochin, Leonas Ustinovichius, Victoria Sliesoraitiene:
  Implicit Learning System for Teaching the Art of Acute Cardiac Infarction Diagnosis. 395-399
  
• Laura Maruster, René J. Jorna:
  Which Kind of Knowledge Is Suitable for Redesigning Hospital Logistic Processes?. 400-405
  

Machine Learning, Knowledge Discovery and Data Mining

• David Sánchez, Antonio Moreno:
  Web Mining Techniques for Automatic Discovery of Medical Knowledge. 409-413
  
• Nada Lavrac, Marko Bohanec, Aleksander Pur, Bojan Cestnik, Mitja Jermol, Tanja Urbancic, Marko Debeljak, Branko Kavsek, Tadeja Kopac:
  Resource Modeling and Analysis of Regional Public Health Care Data by Means of Knowledge Technologies. 414-418
  
• Balázs Gaál, István Vassányi, György Kozmann:
  An Evolutionary Divide and Conquer Method for Long-Term Dietary Menu Planning. 419-423
  
• Thomas Guyet, Catherine Garbay, Michel Dojat:
  Human/Computer Interaction to Learn Scenarios from ICU Multivariate Time Series. 424-428
  
• Jerzy Blaszczynski, Ken Farion, Wojtek Michalowski, Szymon Wilk, Steven Rubin, Dawid Weiss:
  Mining Clinical Data: Selecting Decision Support Algorithm for the MET-AP System. 429-433
  
• Amir R. Razavi, Hans Gill, Hans Åhlfeldt, Nosrat Shahsavar:
  A Data Pre-processing Method to Increase Efficiency and Accuracy in Data Mining. 434-443
  
• John H. Holmes, Jennifer A. Sager:
  Rule Discovery in Epidemiologic Surveillance Data Using EpiXCS: An Evolutionary Computation Approach. 444-452
  
• Martin Atzmüller, Joachim Baumeister, Achim Hemsing, Ernst-Jürgen Richter, Frank Puppe:
  Subgroup Mining for Interactive Knowledge Refinement. 453-462
  
• A. Bamgbade, Ray L. Somorjai, B. Dolenko, Erinija Pranckeviciene, A. E. Nikulin, Richard Baumgartner:
  Evidence Accumulation to Identify Discriminatory Signatures in Biomedical Spectra. 463-467
  
• Sarunas Raudys, Richard Baumgartner, Ray L. Somorjai:
  On Understanding and Assessing Feature Selection Bias. 468-472
  
• Keith Marsolo, Srinivasan Parthasarathy, Michael D. Twa, Mark Bullimore:
  A Model-Based Approach to Visualizing Classification Decisions for Patient Diagnosis. 473-483
  
• Élisa Fromont, Rene Quiniou, Marie-Odile Cordier:
  Learning Rules from Multisource Data for Cardiac Monitoring. 484-493
  
• David G. Lindsay, Siân Cox:
  Effective Confidence Region Prediction Using Probability Forecasters. 494-503
  
• Jitimon Keinduangjun, Punpiti Piamsa-nga, Yong Poovorawan:
  Signature Recognition Methods for Identifying Influenza Sequences. 504-513
  
• Minca Mramor, Gregor Leban, Janez Demsar, Blaz Zupan:
  Conquering the Curse of Dimensionality in Gene Expression Cancer Diagnosis: Tough Problem, Simple Models. 514-523
  
• Xin Zhang, Chitta Baral, Seungchan Kim:
  An Algorithm to Learn Causal Relations Between Genes from Steady State Data: Simulation and Its Application to Melanoma Dataset. 524-534
  
• Fabio Rinaldi, Gerold Schneider, Kaarel Kaljurand, Michael Hess, Christos Andronis, Andreas Persidis, Ourania Konstanti:
  Relation Mining over a Corpus of Scientific Literature. 535-544