Auditing the semantic completeness of SNOMED CT using formal concept analysis.
about
International classification of diseases, 10th edition, clinical modification and procedure coding system: descriptive overview of the next generation HIPAA code setsUsing Semantic Web technology to support icd-11 textual definitions authoringDevelopment and evaluation of an ontology for guiding appropriate antibiotic prescribing.Quality Assurance of Cancer Study Common Data Elements Using A Post-Coordination ApproachAnalyzing SNOMED CT's Historical Data: Pitfalls and Possibilities.Assisting the translation of SNOMED CT into French using UMLS and four representative French-language terminologies.Detecting Underspecification in SNOMED CT concept definitions through natural language processingQuality evaluation of value sets from cancer study common data elements using the UMLS semantic groups.Large-scale, Exhaustive Lattice-based Structural Auditing of SNOMED CT.Using the abstraction network in complement to description logics for quality assurance in biomedical terminologies - a case study in SNOMED CTAuditing complex concepts of SNOMED using a refined hierarchical abstraction network.NEO: Systematic Non-Lattice Embedding of Ontologies for Comparing the Subsumption Relationship in SNOMED CT and in FMA Using MapReduceStructural Patterns under X-Rays: Is SNOMED CT Growing Straight?Mining non-lattice subgraphs for detecting missing hierarchical relations and concepts in SNOMED CT.COHeRE: Cross-Ontology Hierarchical Relation Examination for Ontology Quality Assurance.FEDRR: fast, exhaustive detection of redundant hierarchical relations for quality improvement of large biomedical ontologies.Auditing SNOMED relationships using a converse abstraction network.Scalable quality assurance for large SNOMED CT hierarchies using subject-based subtaxonomies.Assessing the Practice of Biomedical Ontology Evaluation: Gaps and Opportunities.An efficient, large-scale, non-lattice-detection algorithm for exhaustive structural auditing of biomedical ontologies.Using SPARQL to Test for Lattices: application to quality assurance in biomedical ontologiesSpark-MCA: Large-scale, Exhaustive Formal Concept Analysis for Evaluating the Semantic Completeness of SNOMED CT.
P2860
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P2860
Auditing the semantic completeness of SNOMED CT using formal concept analysis.
description
2008 nî lūn-bûn
@nan
2008年の論文
@ja
2008年論文
@yue
2008年論文
@zh-hant
2008年論文
@zh-hk
2008年論文
@zh-mo
2008年論文
@zh-tw
2008年论文
@wuu
2008年论文
@zh
2008年论文
@zh-cn
name
Auditing the semantic completeness of SNOMED CT using formal concept analysis.
@en
type
label
Auditing the semantic completeness of SNOMED CT using formal concept analysis.
@en
prefLabel
Auditing the semantic completeness of SNOMED CT using formal concept analysis.
@en
P2860
P356
P1476
Auditing the semantic completeness of SNOMED CT using formal concept analysis.
@en
P2093
Christopher G Chute
Guoqian Jiang
P2860
P304
P356
10.1197/JAMIA.M2541
P577
2008-10-24T00:00:00Z