• Media type: E-Book; Conference Proceedings
  • Title: Knowledge Representation for Health-Care. Data, Processes and Guidelines : AIME 2009 Workshop KR4HC 2009, Verona, Italy, July 19, 2009, Revised Selected and Invited Papers
  • Contributor: Riaño, David [Author]; Teije, Annette [Other]; Miksch, Silvia [Other]; Peleg, Mor [Other]
  • imprint: Berlin, Heidelberg: Springer Berlin Heidelberg, 2010
  • Published in: Lecture notes in computer science ; 5943
    Bücher
  • Extent: Online-Ressource (195p. 60 illus, digital)
  • Language: English
  • DOI: 10.1007/978-3-642-11808-1
  • ISBN: 9783642118081
  • Identifier:
  • RVK notation: SS 4800 : Lecture notes in computer science
  • Keywords: Medizin > Wissensrepräsentation
  • Origination:
  • Footnote:
  • Description: 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.