Artificial Intelligence in Medicine: 11th Conference on Artificial Intelligence in Medicine in Europe, AIME 2007, Amsterdam, The Netherlands, July 7-11, 2007, Proceedings: Lecture Notes in Computer Science, cartea 4594

Agent-Based Systems.- A Human-Machine Cooperative Approach for Time Series Data Interpretation.- MRF Agent Based Segmentation: Application to MRI Brain Scans.- R-CAST-MED: Applying Intelligent Agents to Support Emergency Medical Decision-Making Teams.- Knowledge-Based Modeling and Simulation of Diseases with Highly Differentiated Clinical Manifestations.- Co-operative Agents in Analysis and Interpretation of Intracerebral EEG Activity: Application to Epilepsy.- An Ontology-Driven Agent-Based Clinical Guideline Execution Engine.- Temporal Data Mining.- An Intelligent Aide for Interpreting a Patient’s Dialysis Data Set.- Temporal Data Mining with Temporal Constraints.- A Nearest Neighbor Approach to Predicting Survival Time with an Application in Chronic Respiratory Disease.- Using Temporal Context-Specific Independence Information in the Exploratory Analysis of Disease Processes.- Discovery and Integration of Organ-Failure Episodes in Mortality Prediction.- Machine Learning and Knowledge Discovery.- Contrast Set Mining for Distinguishing Between Similar Diseases.- Multi-resolution Image Parametrization in Stepwise Diagnostics of Coronary Artery Disease.- Classifying Alarms in Intensive Care - Analogy to Hypothesis Testing.- Hierarchical Latent Class Models and Statistical Foundation for Traditional Chinese Medicine.- Interpreting Gene Expression Data by Searching for Enriched Gene Sets.- Variable Selection for Optimal Decision Making.- Supporting Factors in Descriptive Analysis of Brain Ischaemia.- Knowledge Acquisition from a Medical Corpus: Use and Return on Experiences.- Machine Learning Techniques for Decision Support in Anesthesia.- Learning Decision Tree for Selecting QRS Detectors for Cardiac Monitoring.- Monitoring Human Resources of a Public Health-CareSystem Through Intelligent Data Analysis and Visualization.- An Integrated IT System for Phenotypic and Genotypic Data Mining and Management.- Automatic Retrieval of Web Pages with Standards of Ethics and Trustworthiness Within a Medical Portal: What a Page Name Tells Us.- A Mixed Data Clustering Algorithm to Identify Population Patterns of Cancer Mortality in Hijuelas-Chile.- Novel Features for Automated Lung Function Diagnosis in Spontaneously Breathing Infants.- Multi-level Clustering in Sarcoidosis: A Preliminary Study.- Text Mining, Natural Language Processing and Generation.- An Experiment in Automatic Classification of Pathological Reports.- Literature Mining: Towards Better Understanding of Autism.- Automatic Generation of Textual Summaries from Neonatal Intensive Care Data.- Anonymisation of Swedish Clinical Data.- MetaCoDe: A Lightweight UMLS Mapping Tool.- Unsupervised Documents Categorization Using New Threshold-Sensitive Weighting Technique.- Application of Cross-Language Criteria for the Automatic Distinction of Expert and Non Expert Online Health Documents.- Extracting Specific Medical Data Using Semantic Structures.- Ontologies.- Using Semantic Web Technologies for Knowledge-Driven Querying of Biomedical Data.- Categorical Representation of Evolving Structure of an Ontology for Clinical Fungus.- Replacing SEP-Triplets in SNOMED CT Using Tractable Description Logic Operators.- Building an Ontology of Hypertension Management.- Analyzing Differences in Operational Disease Definitions Using Ontological Modeling.- Decision Support Systems.- Adaptive Optimization of Hospital Resource Calendars.- On the Behaviour of Information Measures for Test Selection.- Nasopharyngeal Carcinoma Data Analysis with a Novel Bayesian Network Skeleton Learning Algorithm.- Enhancing Automated Test Selection in Probabilistic Networks.- ProCarSur: A System for Dynamic Prognostic Reasoning in Cardiac Surgery.- Content Collection for the Labelling of Health-Related Web Content.- Bayesian Network Decomposition for Modeling Breast Cancer Detection.- A Methodology for Automated Extraction of the Optimal Pathways from Influence Diagrams.- Computer-Aided Assessment of Drug-Induced Lung Disease Plausibility.- Applications of AI-Based Image Processing Techninques.- Segmentation Techniques for Automatic Region Extraction: An Application to Aphasia Rehabilitation.- A Pattern Recognition Approach to Diagnose Foot Plant Pathologies: From Segmentation to Classification.- A Novel Way of Incorporating Large-Scale Knowledge into MRF Prior Model.- Predictive Modeling of fMRI Brain States Using Functional Canonical Correlation Analysis.- Protocols and Guidelines.- Formalizing ‘Living Guidelines’ Using LASSIE: A Multi-step Information Extraction Method.- The Role of Model Checking in Critiquing Based on Clinical Guidelines.- Integrating Document-Based and Knowledge-Based Models for Clinical Guidelines Analysis.- Document-Oriented Views of Guideline Knowledge Bases.- Maintaining Formal Models of Living Guidelines Efficiently.- A Causal Modeling Framework for Generating Clinical Practice Guidelines from Data.- Semantic Web Framework for Knowledge-Centric Clinical Decision Support Systems.- Inference in the Promedas Medical Expert System.- Computerised Guidelines Implementation: Obtaining Feedback for Revision of Guidelines, Clinical Data Model and Data Flow.- Workflow Systems.- Querying Clinical Workflows by Temporal Similarity.- Testing Careflow Process Execution Conformance by Translating a Graphical Language to Computational Logic.- Induction of Partial Ordersto Predict Patient Evolutions in Medicine.- Interacting Agents for the Risk Assessment of Allergies in Newborn Babies.