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Knowledge Representation for Health-Care : Data, Processes and Guidelines - David Riano Ramos

Knowledge Representation for Health-Care

Data, Processes and Guidelines

By: David Riano Ramos (Editor), Annette ten Teije (Editor), Silvia Miksch (Editor), Mor Peleg (Editor)

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Published: 23rd February 2010
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This bookis the resultof merging two workshopsseries, namely, oneon comp- erized guidelines and protocols and the other one on knowledge management for healthcareprocedures. Themergeresultedinthe KR4HCworkshop: Knowledge Representationfor HealthCare: Data, Processes, andGuidelines. This workshop was held in conjunction with the 12th Conference on Arti?cial Intelligence in Medicine (AIME 2009), in Verona, Italy. The book included, in addition to the full-length workshop papers, invited peer-reviewed advanced papers on lessons learned in these ?elds. The KR4HC workshop continued a line of successful guideline workshops held in 2000, 2004, 2006, 2007, and 2008. Following the success of the ?rst - ropean Workshop on Computerized Guidelines and Protocols held in Leipzig, Germany, in 2000, the Symposium on Computerized Guidelines and Protocols (CGP 2004) was organized in Prague, Czech Republic in 2004 to identify use cases for guideline-based applications in health care, computerized methods for supportingtheguidelinedevelopmentprocess, andpressingissuesandpromising approachesfordevelopingusableandmaintainablevehiclesforguidelinedelivery. In 2006 an ECAI 2006 workshop at Riva del Garda, Italy, entitled "AI Te- niques in Health Care: Evidence-BasedGuidelinesand Protocols"wasorganized to bring together researchers from di?erent branches of arti?cial intelligence to examine cutting-edge approaches to guideline modeling and development and to consider how di?erent communities can cooperate to address the challenges of computer-based guideline development.

From Patient Data to Medical Ontologies
Creating Topic Hierarchies for Large Medical Librariesp. 1
Bridging an Asbru Protocol to an Existing Electronic Patient Recordp. 14
From Natural Language Descriptions in Clinical Guidelines to Relationships in an Ontologyp. 26
A Hybrid Methodology for Consumer-Oriented Healthcare Knowledge Acquisitionp. 38
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 Mapperp. 64
Guideline Modeling and Tools
Analysis of the GLARE and GPROVE Approaches to Clinical Guidelinesp. 76
Semantic Web-Based Modeling of Clinical Pathways Using the UML Activity Diagrams and OWL-Sp. 88
Extracting Qualitative Knowledge from Medical Guidelines for Clinical Decision-Support Systemsp. 100
Experiences in the Development of Electronic Care Plans for the Management of Comorbiditiesp. 113
Challenges in Delivering Decision Support Systems: The MATE Experiencep. 124
Technical Solutions for Integrating Clinical Practice Guidelines with Electronic Patient Recordsp. 141
Advanced Topics
Towards a Possibility-Theoretic Approach to Uncertainty in Medical Data Interpretation for Text Generationp. 155
Argumentation about Treatment Efficacyp. 169
A Knowledge-Management Architecture to Integrate and to Share Medical and Clinical Data, Information, and Knowledgep. 180
Author Indexp. 195
Table of Contents provided by Ingram. All Rights Reserved.

ISBN: 9783642118074
ISBN-10: 3642118070
Series: Lecture Notes in Artificial Intelligence
Audience: General
Format: Paperback
Language: English
Number Of Pages: 194
Published: 23rd February 2010
Publisher: Springer-Verlag Berlin and Heidelberg Gmbh & Co. Kg
Country of Publication: DE
Dimensions (cm): 23.62 x 15.49  x 1.27
Weight (kg): 0.32