Knowledge Representation for Health-Care. Data, Processes and Guidelines: AIME 2009 Workshop KR4HC 2009, Verona, Italy, July 19, 2009, Revised Selected Papers: Lecture Notes in Computer Science, cartea 5943

From Patient Data to Medical Ontologies.- Creating Topic Hierarchies for Large Medical Libraries.- Bridging an Asbru Protocol to an Existing Electronic Patient Record.- From Natural Language Descriptions in Clinical Guidelines to Relationships in an Ontology.- A Hybrid Methodology for Consumer-Oriented Healthcare Knowledge Acquisition.- Identifying Disease-Centric Subdomains in Very Large Medical Ontologies: A Case-Study on Breast Cancer Concepts in SNOMED CT. Or: Finding 2500 Out of 300.000.- Sharable Appropriateness Criteria in GLIF3 Using Standards and the Knowledge-Data Ontology Mapper.- Guideline Modeling and Tools.- Analysis of the GLARE and GPROVE Approaches to Clinical Guidelines.- Semantic Web-Based Modeling of Clinical Pathways Using the UML Activity Diagrams and OWL-S.- Extracting Qualitative Knowledge from Medical Guidelines for Clinical Decision-Support Systems.- Experiences in the Development of Electronic Care Plans for the Management of Comorbidities.- Challenges in Delivering Decision Support Systems: The MATE Experience.- Technical Solutions for Integrating Clinical Practice Guidelines with Electronic Patient Records.- Advanced Topics.- Towards a Possibility-Theoretic Approach to Uncertainty in Medical Data Interpretation for Text Generation.- Argumentation about Treatment Efficacy.- A Knowledge-Management Architecture to Integrate and to Share Medical and Clinical Data, Information, and Knowledge.