Something new and different: The Unified Medical Language System. [PDF]
Inf Serv Use, 2022 Donald A.B. Lindberg M.D. arrived at the U.S. National Library of Medicine in 1984 and quickly launched the Unified Medical Language System (UMLS) research and development project to help computers understand biomedical meaning and to enable retrieval ...
Humphreys BL, Tuttle MS.
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A review of auditing techniques for the Unified Medical Language System. [PDF]
J Am Med Inform Assoc, 2020 Objective The study sought to describe the literature related to the development of methods for auditing the Unified Medical Language System (UMLS), with particular attention to identifying errors and inconsistencies of attributes of the concepts in the ...
Zheng L +8 more
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The Unified Medical Language System at 30 Years and How It Is Used and Published: Systematic Review and Content Analysis. [PDF]
JMIR Med Inform, 2021 Background The Unified Medical Language System (UMLS) has been a critical tool in biomedical and health informatics, and the year 2021 marks its 30th anniversary.
Jing X.
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The Unified Medical Language System SPECIALIST Lexicon and Lexical Tools: Development and applications. [PDF]
J Am Med Inform Assoc, 2020 Natural language processing (NLP) plays a vital role in modern medical informatics. It converts narrative text or unstructured data into knowledge by analyzing and extracting concepts.
Lu CJ, Payne A, Mork JG.
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Use of word and graph embedding to measure semantic relatedness between Unified Medical Language System concepts. [PDF]
J Am Med Inform Assoc, 2020 Objective The study sought to explore the use of deep learning techniques to measure the semantic relatedness between Unified Medical Language System (UMLS) concepts.
Mao Y, Fung KW.
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PhenClust, a standalone tool for identifying trends within sets of biological phenotypes using semantic similarity and the Unified Medical Language System metathesaurus. [PDF]
JAMIA Open, 2021 Objectives We sought to cluster biological phenotypes using semantic similarity and create an easy-to-install, stable, and reproducible tool. Materials and Methods We generated Phenotype Clustering (PhenClust)—a novel application of semantic similarity ...
Wilson JL +4 more
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Assessing the enrichment of dietary supplement coverage in the Unified Medical Language System. [PDF]
J Am Med Inform Assoc, 2020 OBJECTIVE We sought to assess the need for additional coverage of dietary supplements (DS) in the Unified Medical Language System (UMLS) by investigating (1) the overlap between the integrated DIetary Supplements Knowledge base (iDISK) DS ingredient ...
Vasilakes J +5 more
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The impact of learning Unified Medical Language System knowledge embeddings in relation extraction from biomedical texts. [PDF]
J Am Med Inform Assoc, 2020 OBJECTIVE We explored how knowledge embeddings (KEs) learned from the Unified Medical Language System (UMLS) Metathesaurus impact the quality of relation extraction on 2 diverse sets of biomedical texts.
Weinzierl MA, Maldonado R, Harabagiu SM.
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Identifying Emergency Department Symptom-Based Diagnoses with the Unified Medical Language System. [PDF]
West J Emerg Med, 2019 Introduction Many patients who are discharged from the emergency department (ED) with a symptom-based discharge diagnosis (SBD) have post-discharge challenges related to lack of a definitive discharge diagnosis and follow-up plan.
Slovis BH +5 more
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Knowledge Discovery from Posts in Online Health Communities Using Unified Medical Language System. [PDF]
Int J Environ Res Public Health, 2018 Patient-reported posts in Online Health Communities (OHCs) contain various valuable information that can help establish knowledge-based online support for online patients. However, utilizing these reports to improve online patient services in the absence
Chen D, Zhang R, Liu K, Hou L.
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