Artificial Intelligence in Medicine 9th Conference on Artificial Intelligence in Medicine in Europe, AIME 2003, Protaras, Cyprus, October 18-22, 2003, Proceedings

Temporal Reasoning.- On-Line Extraction of Successive Temporal Sequences from ICU High-Frequency Data for Decision Support Information.- Quality Assessment of Hemodialysis Services through Temporal Data Mining.- Idan: A Distributed Temporal-Abstraction Mediator for Medical Databases.- Prognosis of Approaching Infectious Diseases.- Modeling Multimedia and Temporal Aspects of Semistructured Clinical Data.- NEONATE: Decision Support in the Neonatal Intensive Care Unit - A Preliminary Report.- Abstracting the Patient Therapeutic History through a Heuristic-Based Qualitative Handling of Temporal Indeterminacy.- Ontology, Terminology.- How to Represent Medical Ontologies in View of a Semantic Web?.- Using Description Logics for Managing Medical Terminologies.- Ontology for Task-Based Clinical Guidelines and the Theory of Granular Partitions.- Speech Interfaces for Point-of-Care Guideline Systems.- Text Categorization prior to Indexing for the CISMEF Health Catalogue.- Bodily Systems and the Modular Structure of the Human Body.- Image Processing, Simulation.- Multi-agent Approach for Image Processing: A Case Study for MRI Human Brain Scans Interpretation.- Qualitative Simulation of Shock States in a Virtual Patient.- 3D Segmentation of MR Brain Images into White Matter, Gray Matter and Cerebro-Spinal Fluid by Means of Evidence Theory.- A Knowledge-Based System for the Diagnosis of Alzheimer's Disease.- Guidelines, Clinical Protocols.- DEGEL: A Hybrid, Multiple-Ontology Framework for Specification and Retrieval of Clinical Guidelines.- Experiences in the Formalisation and Verification of Medical Protocols.- Enhancing Conventional Web Content with Intelligent Knowledge Processing.- Linking Clinical Guidelines with Formal Representations.- Computerised Advice on Drug DosageDecisions in Childhood Leukaemia: A Method and a Safety Strategy.- The NewGuide Project: Guidelines, Information Sharing and Learning from Exceptions.- Managing Theoretical Single-Disease Guideline Recommendations for Actual Multiple-Disease Patients.- Informal and Formal Medical Guidelines: Bridging the Gap.- Terminology, Natural Language.- Rhetorical Coding of Health Promotion Dialogues.- Learning Derived Words from Medical Corpora.- Learning-Free Text Categorization.- Knowledge-Based Query Expansion over a Medical Terminology Oriented Ontology on the Web.- Linking Rules to Terminologies and Applications in Medical Planning.- Machine Learning.- Classification of Ovarian Tumors Using Bayesian Least Squares Support Vector Machines.- Attribute Interactions in Medical Data Analysis.- Combining Supervised and Unsupervised Methods to Support Early Diagnosis of Hepatocellular Carcinoma.- Analysis of Gene Expression Data by the Logic Minimization Approach.- A Journey trough Clinical Applications of Multimethod Decision Trees.- Probabilistic Networks, Bayesian Models.- Detailing Test Characteristics for Probabilistic Networks.- Bayesian Learning of the Gas Exchange Properties of the Lung for Prediction of Arterial Oxygen Saturation.- Hierarchical Dirichlét Learning - Filling in the Thin Spots in a Database.- A Bayesian Neural Network Approach for Sleep Apnea Classification.- Probabilistic Networks as Probabilistic Forecasters.- Finding and Explaining Optimal Treatments.- Case Based Reasoning, Decision Support.- Acquisition of Adaptation Knowledge for Breast Cancer Treatment Decision Support.- Case Based Reasoning for Medical Decision-Support in a Safety Critical Environment.- Constraint Reasoning in Deep Biomedical Models.- Interactive Decision Support for MedicalPlanning.- Compliance with the Hyperlipidaemia Consensus: Clinicians versus the Computer.- WoundCare: A Palm Pilot-Based Expert System for the Treatment of Pressure Ulcers.- VIE-DIAB: A Support Program for Telemedical Glycaemic Control.- Data Mining, Knowledge Discovery.- Drifting Concepts as Hidden Factors in Clinical Studies.- Multi-relational Data Mining in Medical Databases.- Invited Talks.- Is It Time to