A Novel Approach to Create a Machine Readable Concept Model for Validating SNOMED CT Concept Post-coordination

dc.contributor.author	Lopetegui, Marcelo
dc.contributor.author	Mauro, Alejandro
dc.date.accessioned	2021-11-23T21:29:28Z
dc.date.available	2021-11-23T21:29:28Z
dc.date.issued	2015
dc.description.abstract	Post-coordination provides the means to achieve an appropriate content coverage, which is critical in successfully adopting clinical reference terminologies, and thus represent clinical information consistently. However, one of the major problems of post-coordination corresponds with ensuring only clinically sensible concepts can be constructed. In this poster, we present the development of a novel approach to generate a MRCM computationally, in order to facilitate the adherence to the existing guidelines and improve the quality of postcoordination in SNOMED CT.	es
dc.identifier.citation	Lopetegui M, Mauro A. A Novel Approach to Create a Machine Readable Concept Model for Validating SNOMED CT Concept Post-coordination. Stud Health Technol Inform. 2015;216:1087. PMID: 26262386.	es
dc.identifier.uri	http://dx.doi.org/10.3233/978-1-61499-564-7-1087	es
dc.identifier.uri	http://hdl.handle.net/11447/5091
dc.language.iso	en	es
dc.subject	SNOMED CT	es
dc.subject	Post-coordination Validation	es
dc.subject	Standardization.	es
dc.title	A Novel Approach to Create a Machine Readable Concept Model for Validating SNOMED CT Concept Post-coordination	es
dc.type	Article	es

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