ArticleBiomedical informatics insights2013
Towards Converting Clinical Phrases into SNOMED CT Expressions.
Article in Biomedical informatics insights, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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5 citing papers in PubMed.
- Clinical Terminology Mapping Service Based on Information Retrieval.Methods of information in medicine · 2025Article
- Clinical Term Normalization Using Learned Edit Patterns and Subconcept Matching: System Development and Evaluation.JMIR medical informatics · 2021Article
- Automating the Transformation of Free-Text Clinical Problems into SNOMED CT Expressions.AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science · 2020Article
- Article
- Formalizing biomedical concepts from textual definitions.Journal of biomedical semantics · 2015Article
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1 author.
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Abstract
Converting information contained in natural language clinical text into computer-amenable structured representations can automate many clinical applications. As a step towards that goal, we present a method which could help in converting novel clinical phrases into new expressions in SNOMED CT, a standard clinical terminology. Since expressions in SNOMED CT are written in terms of their relations with other SNOMED CT concepts, we formulate the important task of identifying relations between clinical phrases and SNOMED CT concepts. We present a machine learning approach for this task and using the dataset of existing SNOMED CT relations we show that it performs well.
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