Knowledge Representation for Health-Care. Data, Processes and Guidelines: AIME 2009 Workshop KR4HC 2009, Verona, Italy, July 19, 2009, Revised Selected Papers. Questo articolo non è disponibile.Knowledge Representation for Health-Care. Data, Processes and Guidelines: AIME 2009 Workshop KR4HC 2009, Verona, Italy, July 19, 2009, Revised Selected Papers

This book constitutes the proceedings of the KR4HC 2009 workshop held at AIME 2009 in Verona, Italy, in July 2009. It is the result of merging two workshops series, namely one on computerized guidelines and protocols and the other one on knowledge management for health care procedures. The 11 workshop papers presented were carefully reviewed and selected from 23 submissions. In addition the book contains 4 invited papers on state-of-the-art results in the field. The topics covered are from patient data to medical ontologies and guideline modeling and tools.

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.