A multi-part matching strategy for mapping LOINC with laboratory terminologies

OBJECTIVE: To address the problem of mapping local laboratory terminologies to Logical Observation Identifiers Names and Codes (LOINC). To study different ontology matching algorithms and investigate how the probability of term combinations in LOINC helps to increase match quality and reduce manual...

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Detaylı Bibliyografya
Asıl Yazarlar: Lee, Li-Hui, Groß, Anika, Hartung, Michael, Liou, Der-Ming, Rahm, Erhard
Materyal Türü: Artigo
Dil:Inglês
Baskı/Yayın Bilgisi: BMJ Publishing Group 2014
Konular:
Focus on Biomedical Natural Language Processing and Data Modeling
Online Erişim:https://ncbi.nlm.nih.gov/pmc/articles/PMC4147612/
https://ncbi.nlm.nih.gov/pubmed/24363318
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1136/amiajnl-2013-002139
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