Artificial Intelligence in Medicine: 10th Conference on Artificial Intelligence in Medicine, AIME 2005, Aberdeen, UK, July 23-27, 2005, Proceedings

Front Cover
Silvia Miksch, Jim Hunter, Elpida Keravnou
Springer Science & Business Media, Jul 14, 2005 - Computers - 550 pages
The European Society for Arti?cial Intelligence in Medicine (AIME) was est- lishedin1986withtwomaingoals:1)tofosterfundamentalandappliedresearch in the application of Arti?cial Intelligence (AI) techniques to medical care and medical research, and 2) to providea forum at biennial conferences for reporting signi?cant results achieved. Additionally, AIME assists medical industrialists to identify newAItechniqueswithhighpotentialforintegrationintonewproducts. Amajoractivityofthissocietyhasbeenaseriesofinternationalconferencesheld biennially over the last 18 years: Marseilles, France (1987), London, UK (1989), Maastricht, Netherlands (1991), Munich, Germany (1993), Pavia, Italy (1995), Grenoble, France (1997), Aalborg, Denmark (1999), Cascais, Portugal (2001), Protaras, Cyprus (2003). The AIME conference provides a unique opportunity to present and improve the international state of the art of AI in medicine from both a research and an applications perspective. For this purpose, the AIME conference includes invited lectures, contributed papers, system demonstrations, a doctoral cons- tium, tutorials, and workshops. The present volume contains the proceedings of AIME 2005, the 10th conference on Arti?cial Intelligence in Medicine, held in Aberdeen, Scotland, July 23-27, 2005. In the AIME 2005 conference announcement, we encouraged authors to s- mit original contributions to the development of theory, techniques, and - plications of AI in medicine, including the evaluation of health care programs. Theoretical papers were to include presentation or analysis of the properties of novelAImethodologiespotentiallyusefultosolvingmedicalproblems.Technical papers were to describe the novelty of the proposed approach, its assumptions, bene?ts, and limitations compared with other alternative techniques. Appli- tion papers were to present su?cient information to allow the evaluation of the practical bene?ts of the proposed system or methodology.
 

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Contents

A Way Out of the Medical Tower of Babel?
3
Learning Rules with Complex Temporal Patterns in Biomedical Domains
23
Probabilistic Abstraction of Multiple Longitudinal Electronic Medical
43
Decision Support Systems
56
Extending Temporal Databases to Deal with TelicAtelic Medical Data
58
An Expert System for Atherosclerosis Risk Assessment
78
A Rehabilitation Expert System for Poststroke Patients Douglas D Dankel II Marıa Osk Kristmundsdˇttir
94
A Collaborative Activities Representation for Building
111
The Use of Verbal Classification in Determining the Course of Medical
276
Interactive Knowledge Validation in CBR for Decision Support
287
Adaptation and Medical CaseBased Reasoning Focusing on Endocrine
300
Towards Information Visualization and Clustering Techniques for
315
Automatic Landmarking of Cephalograms by Cellular Neural Networks
333
Morphometry of the Hippocampus Based on a Deformable Model
353
Multiagent Patient Representation in Primary Care
375
Clinical Reasoning Learning with Simulated Patients
385

Improving Clinical Guideline Implementation Through Prototypical
126
Helping Physicians to Organize Guidelines Within Conceptual
141
MHB A ManyHeaded Bridge Between Informal and Formal
146
A HistoryBased Algebra for QualityChecking Medical Guidelines
161
Gaining Process Information from Clinical Practice Guidelines Using
181
Formalising Medical Quality Indicators to Improve Guidelines
201
OntologyMediated Distributed Decision Support for Breast Cancer
221
Building Medical Ontologies Based on Terminology Extraction from
231
Using Lexical and Logical Methods for the Alignment of Medical
241
A Benchmark Evaluation of the French MeSH Indexers
251
Ontology of Time and Situoids in Medical Conceptual Modeling
266
Implicit Learning System for Teaching the Art of Acute Cardiac
395
Web Mining Techniques for Automatic Discovery of Medical Knowledge
409
An Evolutionary Divide and Conquer Method for LongTerm Dietary
419
Selecting Decision Support Algorithm for
429
Subgroup Mining for Interactive Knowledge Refinement
453
On Understanding and Assessing Feature Selection Bias
468
Learning Rules from Multisource Data for Cardiac Monitoring
484
Signature Recognition Methods for Identifying Influenza Sequences
504
An Algorithm to Learn Causal Relations Between Genes from Steady
524
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