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Inhaltsverzeichnis
Invited Talks. - Ontology Mapping: A Way Out of the Medical Tower of Babel? . - Human Computer Interaction in Context Aware Wearable Systems. - Temporal Representation and Reasoning. - A New Approach to the Abstraction of Monitoring Data in Intensive Care. - Learning Rules with Complex Temporal Patterns in Biomedical Domains. - Discriminating Exanthematic Diseases from Temporal Patterns of Patient Symptoms. - Probabilistic Abstraction of Multiple Longitudinal Electronic Medical Records. - Using a Bayesian-Network Model for the Analysis of Clinical Time-Series Data. - Data-Driven Analysis of Blood Glucose Management Effectiveness. - Extending Temporal Databases to Deal with Telic/Atelic Medical Data. - Dichotomization of ICU Length of Stay Based on Model Calibration. - Decision Support Systems. - AtherEx: An Expert System for Atherosclerosis Risk Assessment. - Smooth Integration of Decision Support into an Existing Electronic Patient Record. - REPS: A Rehabilitation Expert System for Post-stroke Patients. - Clinical Guidelines and Protocols. - Testing Asbru Guidelines and Protocols for Neonatal Intensive Care. - EORCA: A Collaborative Activities Representation for Building Guidelines from Field Observations. - Design Patterns for Modelling Guidelines. - Improving Clinical Guideline Implementation Through Prototypical Design Patterns. - Automatic Derivation of a Decision Tree to Represent Guideline-Based Therapeutic Strategies for the Management of Chronic Diseases. - Exploiting Decision Theory for Supporting Therapy Selection in Computerized Clinical Guidelines. - Helping Physicians to Organize Guidelines Within Conceptual Hierarchies. - MHB A Many-Headed Bridge Between Informal and Formal Guideline Representations. - Clinical Guidelines Adaptation: Managing Authoring and Versioning Issues. -Open-Source Publishing of Medical Knowledge for Creation of Computer-Interpretable Guidelines. - A History-Based Algebra for Quality-Checking Medical Guidelines. - The Spock System: Developing a Runtime Application Engine for Hybrid-Asbru Guidelines. - AI Planning Technology as a Component of Computerised Clinical Practice Guidelines. - Gaining Process Information from Clinical Practice Guidelines Using Information Extraction. - Ontology-Driven Extraction of Linguistic Patterns for Modelling Clinical Guidelines. - Formalising Medical Quality Indicators to Improve Guidelines. - Ontology and Terminology. - Oncology Ontology in the NCI Thesaurus. - Ontology-Mediated Distributed Decision Support for Breast Cancer. - Multimedia Data Management to Assist Tissue Microarrays Design. - Building Medical Ontologies Based on Terminology Extraction from Texts: Methodological Propositions. - Translating Biomedical Terms by Inferring Transducers. - Using Lexical and Logical Methods for the Alignment of Medical Terminologies. - Latent Argumentative Pruning for Compact MEDLINE Indexing. - A Benchmark Evaluation of the French MeSH Indexers. - Populating an Allergens Ontology Using Natural Language Processing and Machine Learning Techniques. - Ontology of Time and Situoids in Medical Conceptual Modeling. - The Use of Verbal Classification for Determining the Course of Medical Treatment by Medicinal Herbs. - Case-Based Reasoning, Signal Interpretation, Visual Mining. - Interactive Knowledge Validation in CBR for Decision Support in Medicine. - Adaptation and Medical Case-Based Reasoning Focusing on Endocrine Therapy Support. - Transcranial Magnetic Stimulation (TMS) to Evaluate and Classify Mental Diseases Using Neural Networks. - Towards Information Visualization and Clustering Techniques for MRI Data Sets. - Computer Vision and Imaging. - Electrocardiographic Imaging: Towards Automated Interpretation of Activation Maps. - Automatic Landmarking of Cephalograms by Cellular Neural Networks. - Anatomical Sketch Understanding: Recognizing Explicit and Implicit Structure. - Morphometry of the Hippocampus Based on a Deformable Model and Support Vector Machines. - Automatic Segmentation of Whole-Body Bone Scintigrams as a Preprocessing Step for Computer Assisted Diagnostics. - Knowledge Management. - Multi-agent Patient Representation in Primary Care. - Clinical Reasoning Learning with Simulated Patients. - Implicit Learning System for Teaching the Art of Acute Cardiac Infarction Diagnosis. - Which Kind of Knowledge Is Suitable for Redesigning Hospital Logistic Processes? . - Machine Learning, Knowledge Discovery and Data Mining. - Web Mining Techniques for Automatic Discovery of Medical Knowledge. - Resource Modeling and Analysis of Regional Public Health Care Data by Means of Knowledge Technologies. - An Evolutionary Divide and Conquer Method for Long-Term Dietary Menu Planning. - Human/Computer Interaction to Learn Scenarios from ICU Multivariate Time Series. - Mining Clinical Data: Selecting Decision Support Algorithm for the MET-AP System. - A Data Pre-processing Method to Increase Efficiency and Accuracy in Data Mining. - Rule Discovery in Epidemiologic Surveillance Data Using EpiXCS: An Evolutionary Computation Approach. - Subgroup Mining for Interactive Knowledge Refinement. - Evidence Accumulation to Identify Discriminatory Signatures in Biomedical Spectra. - On Understanding and Assessing Feature Selection Bias. - A Model-Based Approach to Visualizing Classification Decisions for Patient Diagnosis. - Learning Rules from Multisource Data for Cardiac Monitoring. - Effective Confidence Region Prediction Using Probability Forecasters. - Signature Recognition Methods for Identifying Influenza Sequences. - Conquering the Curse of Dimensionality in Gene Expression Cancer Diagnosis: Tough Problem, Simple Models. - An Algorithm to Learn Causal Relations Between Genes from Steady State Data: Simulation and Its Application to Melanoma Dataset. - Relation Mining over a Corpus of Scientific Literature.
