ArticleAMIA ... Annual Symposium proceedings. AMIA Symposium2011
An evaluation of the UMLS in representing corpus derived clinical concepts.
Article in AMIA ... Annual Symposium proceedings. AMIA Symposium, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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Who cites it
9 citing papers in PubMed.
- The suitability of UMLS and SNOMED-CT for encoding outcome concepts.Journal of the American Medical Informatics Association : JAMIA · 2023Article
- Development and empirical user-centered evaluation of semantically-based query recommendation for an electronic health record search engine.Journal of biomedical informatics · 2017Article
- Automatic Generation of Conditional Diagnostic Guidelines.AMIA ... Annual Symposium proceedings. AMIA Symposium · 2016Article
- Fine-grained information extraction from German transthoracic echocardiography reports.BMC medical informatics and decision making · 2015Article
- Challenges in clinical natural language processing for automated disorder normalization.Journal of biomedical informatics · 2015Article
- OTO: Ontology Term Organizer.BMC bioinformatics · 2015Article
- Extracting semantic lexicons from discharge summaries using machine learning and the C-Value method.AMIA ... Annual Symposium proceedings. AMIA Symposium · 2012Article
- A comparative study of current Clinical Natural Language Processing systems on handling abbreviations in discharge summaries.AMIA ... Annual Symposium proceedings. AMIA Symposium · 2012Article
- Applying MetaMap to Medline for identifying novel associations in a large clinical dataset: a feasibility analysis.Journal of the American Medical Informatics Association : JAMIAArticle
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Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
We performed an evaluation of the Unified Medical Language System (UMLS) in representing concepts derived from medical narrative documents from three domains: chest x-ray reports, discharge summaries and admission notes. We detected concepts in these documents by identifying noun phrases (NPs) and N-grams, including unigrams (single words), bigrams (word pairs) and trigrams (word triples). After removing NPs and N-grams that did not represent discrete clinical concepts, we processed the remaining with the UMLS MetaMap program. We manually reviewed the results of MetaMap processing to determine whether MetaMap found full, partial or no representation of the concept. For full representations, we determined whether post-coordination was required. Our results showed that a large portion of concepts found in clinical narrative documents are either unrepresented or poorly represented in the current version of the UMLS Metathesaurus and that post-coordination was often required in order to fully represent a concept.
Indexed as
Identifiers
22195097PMC3243131What OpenQuestion holds
Registered trials
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