Paper Info
Title
A standard based approach for biomedical knowledge representation.
Abstract
The new generation of health information standards, where the syntax and semantics of the content is explicitly formalized, allows for interoperability in healthcare scenarios and analysis in clinical research settings. Studies involving clinical and genomic data include accumulating knowledge as relationships between genotypic and phenotypic information as well as associations within the genomic and clinical worlds. Some involve analysis results targeted at a specific disease; others are of a predictive nature specific to a patient and may be used by decision support applications. Representing knowledge is as important as representing data since data is more useful when coupled with relevant knowledge. Any further analysis and cross-research collaboration would benefit from persisting knowledge and data in a unified way. This paper describes a methodology used in Hypergenes, an EC FP7 project targeting Essential Hypertension, which captures data and knowledge using standards such as HL7 CDA and Clinical Genomics, aligned with the CEN EHR 13606 specification. We demonstrate the benefits of such an approach for clinical research as well as in healthcare oriented scenarios.
Year
DOI
Venue
2011
10.3233/978-1-60750-806-9-689
Studies in Health Technology and Informatics
Keywords
Field
DocType
HL7/ISO RIM,HL7/ISO CDA R2,HL7/ISO Clinical Genomics,CEN EHR 13606,Knowledge Representation
Health care,Data mining,Knowledge representation and reasoning,Computer science,Interoperability,Decision support system,Knowledge management,Syntax,Semantics,Computational analysis,Health information
Conference
Volume
ISSN
Citations 
169
0926-9630
0
PageRank 
References 
Authors
0.34
1
9
Name
Order
Citations
PageRank
Ariel Farkash153.47
Hani Neuvirth2374.50
Yaara Goldschmidt300.34
Costanza Conti414518.61
Federica Rizzi500.34
Stefano Bianchi610.68
Erika Salvi7331.52
Daniele Cusi800.68
Amnon Shabo98919.87