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Spark-MCA: Large-scale, Exhaustive Formal Concept Analysis for Evaluating the Semantic Completeness of SNOMED CT

The completeness of a medical terminology system consists of two parts: complete content coverage and complete semantics. In this paper, we focus on semantic completeness and present a scalable approach, called Spark-MCA, for evaluating the semantic completeness of SNOMED CT. We formulate the SNOMED...

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Dettagli Bibliografici
Pubblicato in:AMIA Annu Symp Proc
Autori principali: Wei, Zhu, Licong, Cui, Guo-Qiang, Zhang
Natura: Artigo
Lingua:Inglês
Pubblicazione: American Medical Informatics Association 2018
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Accesso online:https://ncbi.nlm.nih.gov/pmc/articles/PMC5977568/
https://ncbi.nlm.nih.gov/pubmed/29854265
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