Knowledge Representation for Health-Care. Data, Processes and Guidelines AIME 2009 Workshop KR4HC 2009, Verona, Italy, July 19, 2009, Revised Selected Papers / [electronic resource] :
edited by David Riano, Annette ten Teije, Silvia Miksch, Mor Peleg.
- 1st ed. 2010.
- 195 p. 60 illus. online resource.
- Lecture Notes in Artificial Intelligence, 5943 2945-9141 ; .
- Lecture Notes in Artificial Intelligence, 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.
9783642118081
10.1007/978-3-642-11808-1 doi
Data mining. Information storage and retrieval systems. Application software. Database management. Electronic data processing--Management. Data Mining and Knowledge Discovery. Information Storage and Retrieval. Computer and Information Systems Applications. Database Management. IT Operations.