Artificial Intelligence in Medicine

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.