This book constitutes the refereed proceedings of the 12th Conference on Artificial Intelligence in Medicine in Europe, AIME 2009, held in Verona, Italy in July 2009.

The 24 revised long papers and 36 revised short papers presented together with 2 invited talks were carefully reviewed and selected from 140 submissions. The papers are organized in topical sections on agent-based systems, temporal data mining, machine learning and knowledge discovery, text mining, natural language processing and generation, ontologies, decision support systems, applications of AI-based image processing techniques, protocols and guidelines, as well as workflow systems.

Invited Talks

Discovering Novel Adverse Drug Events Using Natural Language Processing and Mining of the Electronic Health Record
Computer Vision: A Plea for a Constructivist View
Temporal Reasoning and Temporal Data Mining
Mining Healthcare Data with Temporal Association Rules: Improvements and Assessment for a Practical Use
A Temporal Data Mining Approach for Discovering Knowledge on the Changes of the Patient's Physiology
Severity Evaluation Support for Burns Unit Patients Based on Temporal Episodic Knowledge Retrieval
Using Temporal Constraints to Integrate Signal Analysis and Domain Knowledge in Medical Event Detection
Temporal Data Mining of HIV Registries: Results from a 25 Years Follow-Up
Therapy Planning, Scheduling and Guideline-Based Care
Modeling Clinical Guidelines through Petri Nets
Optimization of Online Patient Scheduling with Urgencies and Preferences
Towards the Merging of Multiple Clinical Protocols and Guidelines via Ontology-Driven Modeling
Analysing Clinical Guidelines' Contents with Deontic and Rhetorical Structures
A Hybrid Approach to Clinical Guideline and to Basic Medical Knowledge Conformance
Goal-Based Decisions for Dynamic Planning
Genetic Algorithm Based Scheduling of Radiotherapy Treatments for Cancer Patients
Case-Based Reasoning
Feasibility of Case-Based Beam Generation for Robotic Radiosurgery
Conversational Case-Based Reasoning in Medical Classification and Diagnosis
Medical Imaging
Histopathology Image Classification Using Bag of Features and Kernel Functions
Improving Probabilistic Interpretation of Medical Diagnoses with Multi-resolution Image Parameterization: A Case Study
Segmentation of Lung Tumours in Positron Emission Tomography Scans: A Machine Learning Approach
A System forthe Acquisition, Interactive Exploration and Annotation of Stereoscopic Images
Knowledge-Based and Decision-Support Systems
Implementing a Clinical Decision Support System for Glucose Control for the Intensive Cardiac Care
Steps on the Road to Clinical Application of Decision Support - Example TREAT
Integrating Healthcare Knowledge Artifacts for Clinical Decision Support: Towards Semantic Web Based Healthcare Knowledge Morphing
A Knowledge-Based System to Support Emergency Medical Services for Disabled Patients
A Mobile Clinical Decision Support System for Clubfoot Treatment
An Ambient Intelligent Agent for Relapse and Recurrence Monitoring in Unipolar Depression
An Advanced Platform for Managing Complications of Chronic Diseases
One Telemedical Solution in Bulgaria
A Novel Multilingual Report Generation System for Medical Applications
Ontologies, Terminologies and Natural Language
CORAAL - Towards Deep Exploitation of Textual Resources in Life Sciences
Detecting Intuitive Mentions of Diseases in Narrative Clinical Text
Using Existing Biomedical Resources to Detect and Ground Terms in Biomedical Literature
An Ontology for the Care of the Elder at Home
Ontology-Based Personalization and Modulation of Computerized Cognitive Exercises
HomeNL: Homecare Assistance in Natural Language. An Intelligent Conversational Agent for Hypertensive Patients Management
Explaining Anomalous Responses to Treatment in the Intensive Care Unit
Multiple Terminologies in a Health Portal: Automatic Indexing and Information Retrieval
CodeSlinger: An Interactive Biomedical Ontology Browser
Data Mining, Machine Learning, Classification and Prediction
Subgroup Discovery in Data Sets with Multi-dimensional Responses: A Method and a Case Study inTraumatology
A Framework for Multi-class Learning in Micro-array Data Analysis
Mining Safety Signals in Spontaneous Reports Database Using Concept Analysis
Mealtime Blood Glucose Classifier Based on Fuzzy Logic for the DIABTel Telemedicine System
Providing Objective Feedback on Skill Assessment in a Dental Surgical Training Simulator
Voice Pathology Classification by Using Features from High-Speed Videos
Analysis of EEG Epileptic Signals with Rough Sets and Support Vector Machines
Automatic Detecting Documents Containing Personal Health Information
Segmentation of Text and Non-text in On-Line Handwritten Patient Record Based on Spatio-Temporal Analysis
An Ontology-Based Method to Link Database Integration and Data Mining within a Biomedical Distributed KDD
Subgroup Discovery for Weight Learning in Breast Cancer Diagnosis
Mining Discriminant Sequential Patterns for Aging Brain
The Role of Biomedical Dataset in Classification
Online Prediction of Ovarian Cancer
Prediction of Mechanical Lung Parameters Using Gaussian Process Models
Learning Approach to Analyze Tumour Heterogeneity in DCE-MRI Data During Anti-cancer Treatment
Predicting the Need to Perform Life-Saving Interventions in Trauma Patients by Using New Vital Signs and Artificial Neural Networks
Probabilistic Modeling and Reasoning
Causal Probabilistic Modelling for Two-View Mammographic Analysis
Modelling Screening Mammography Images: A Probabilistic Relational Approach
Data-Efficient Information-Theoretic Test Selection
Gene and Protein Data
Effect of Background Correction on Cancer Classification with Gene Expression Data
On Quality of Different Annotation Sources for Gene Expression Analysis
An Architecture for Automated Reasoning Systems for Genome-Wide Studies
A Mutual Information Approach to Data Integration for Alzheimer's Disease Patients.