The European Societies for Arti cial Intelligence in Medicine (AIME) and M- ical Decision Making (ESMDM) were both established in 1986.A major activity of both these societies has been a series of international conferences, held bi- nially over the last 13 years. In the year 1999 the two societies organized a joint conference for the r st time. It took place from June 20{24th, 1999 in Aalborg, Denmark. This \Joint European Conference on Arti cial Intelligence in Medicine and Medical Decision Making (AIMDM 99)" was the seventh conference for each of thetwosocieties.ThisconferencefollowstheAIMEconferencesheldinMarseilles (1987), London (1989), Maastricht (1991), Munich (1993), Pavia (1995), and Grenoble(1997).PreviousESMDMconferenceshavebeenheldinLeiden(1986), Copenhagen (1988), Glasgow (1990), Marburg (1992), Lille (1994), and Torino (1996). The AIMDM conference is the major forum for the presentation and d- cussion of new ideas in the areas of Arti cial Intelligence and Medical Decision Making in Medicine. This ful lls the aims of both societies. The aims of AIME are to foster fundamental and applied researchin the applicationof Arti cial - telligence (AI) techniques to medicalcareandmedicalresearch,andto providea forum for reporting signi cant results achieved. ESMDM s aims are to promote research and training in medical decision-making, and to provide a forum for circulating ideas and programs of related interest. In the AIMDM 99 conference announcement, authors were encouraged to submit original contributions to the development of theory, techniques, and - plications of both AI in medicine (AIM) and medical decision making (MDM).

Keynote Lectures

From Clinical Guidelines to Decision Support
Artificial Intelligence for Building Learning Health Care Organizations
Timing Is Everything: Temporal Reasoning and Temporal Data Maintenance in Medicine
Machine Learning for Data Mining in Medicine
Guidelines and Protocols
Guidelines-Based Workflow Systems
Enhancing Clinical Practice Guideline Compliance by Involving Physicians in the Decision Process
Application of Therapeutic Protocols: A Tool to Manage Medical Knowledge
Decision Support Systems, Knowledge-Based Systems, Cooperative Systems
From Description to Decision: Towards a Decision Support Training System for MR Radiology of the Brain
Internet-Based Decision-Support Server for Acute Abdominal Pain
Multi-modal Reasoning in Diabetic Patient Management
Experiences with Case-Based Reasoning Methods and Prototypes for Medical Knowledge-Based Systems
Exploting Social Reasoning of Open Multi-agent Systems to Enahnce Cooperation in Hospitals
Influence Diagrams for Neonatal Jaundice Management
Electronic Drug Prescribing and Administration - Bedside Medical Decision Making
Neonatal Ventilation Tutor (VIE-NVT), a Teaching Program for the Mechanical Ventilation of Newborn Infants
A Life-Cycle Based Authorisation Expert Database System
A Decision-Support System for the Identification, Staging, and Functional Evaluation of Liver Diseases (HEPASCORE)
Model-Based Systems
A Model-Based Approach for Learning to Identify Cardiac Arrhythmias
A Model-Based System for Pacemaker Reprogramming
Integrating Deep Biomedical Models into Medical Decision Support Systems: An Interval Constraint Approach
Neural Networks, Causal Probabilistic Networks
A Decision Theoretic Approach to Empirical Treatment of Bacteraemia Originatingfrom the Urinary Tract
An ECG Ischemic Detection System Based on Self-Organizing Maps and a Sigmoid Function Pre-processing Stage
Neural Network Recognition of Otoneurological Vertigo Diseases with Comparison of Some Other Classification Methods
A Comparison of Linear and Non-linear Classifiers for the Detection of Coronary Artery Disease in Stress-ECG
The Case-Based Neural Network Model and Its Use in Medical Expert Systems
Knowledge Representation
A Medical Ontology Library That Integrates the UMLS Metathesaurus(TM)
The Use of the UMLS Knowledge Sources for the Design of a Domain Specific Ontology: A Practical Experience in Blood Transfusion
Representing Knowledge Levels in Clinical Guidelines
Temporal Reasoning
Intelligent Analysis of Clinical Time Series by Combining Structural Filtering and Temporal Abstractions
Knowledge-Based Event Detection in Complex Time Series Data
Abstracting Steady Qualitative Descriptions over Time from Noisy, High-Frequency Data
Visualization Techniques for Time-Oriented, Skeletal Plans in Medical Therapy Planning
Visualizing Temporal Clinical Data on the WWW
Machine Learning
Machine Learning in Stepwise Diagnostic Process
Refinement of Neuro-psychological Tests for Dementia Screening in a Cross Cultural Population Using Machine Learning
The Analysis of Head Injury Data Using Decision Tree Techniques
Machine Learning for Survival Analysis: A Case Study on Recurrence of Prostate Cancer
ICU Patient State Characterization Using Machine Learning in a Time Series Framework
Diagnostic Rules of Increased Reliability for Critical Medical Applications
Machine Learning Inspired Approaches to Combine Standard Medical Measures at an Intensive Care Unit?
A Screening Technique for Prostate Cancer by HairChemical Analysis and Artificial Intelligence
Natural Language Processing
A Conversational Model for Health Promotion on the World Wide Web
Types of Knowledge Required to Personalise Smoking Cessation Letters
Small Is Beautiful - Compact Semantics for Medical Language Processing
Speech Driven Natural Language Understanding for Hands-Busy Recording of Clinical Information
Automatic Acquisition of Morphological Knowledge for Medical Language Processing
Image Processing and Computer Aided Design
A Multi-agent System for MRI Brain Segmentation
Modelling Blood Vessels of the Eye with Parametric L-Systems Using Evolutionary Algorithms
Animating Medical and Safety Knowledge
Active Shape Models for Customised Prosthesis Design.