Unified Medical Language System resources improve sieve-based generation and Bidirectional Encoder Representations from Transformers (BERT)-based ranking for concept normalization. [PDF]
J Am Med Inform Assoc, 2020 Xu D +5 more
europepmc +2 more sources
Use of word and graph embedding to measure semantic relatedness between Unified Medical Language System concepts. [PDF]
J Am Med Inform Assoc, 2020 Mao Y, Fung KW.
europepmc +2 more sources
Mapping the Gene Ontology into the Unified Medical Language System [PDF]
Comparative and Functional Genomics, 2004 AbstractWe have recently mapped the Gene Ontology (GO), developed by the Gene Ontology Consortium, into the National Library of Medicine's Unified Medical Language System (UMLS). GO has been developed for the purpose of annotating gene products in genome databases, and the UMLS has been developed as a framework for integrating large numbers of ...
Lomax, Jane, McCray, Alexa T.
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Goal-Driven Visual Question Generation from Radiology Images
Information, 2021 Visual Question Generation (VQG) from images is a rising research topic in both fields of natural language processing and computer vision. Although there are some recent efforts towards generating questions from images in the open domain, the VQG task in
Mourad Sarrouti +2 more
doaj +1 more source
IEEE Access, 2023 Word Sense Disambiguation (WSD) is a significant and challenging task for text understanding and processing. This paper presents an unsupervised approach based on Weighted Co-occurrence bio-Term Graph (WCOTG) for performing WSD in the biomedical domain ...
Zhenling Zhang +4 more
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PadChest: A large chest x-ray image dataset with multi-label annotated reports [PDF]
, 2019 We present a labeled large-scale, high resolution chest x-ray dataset for the automated exploration of medical images along with their associated reports.
Bustos, Aurelia +3 more
core +2 more sources
MedLexSp – a medical lexicon for Spanish medical natural language processing
Journal of Biomedical Semantics, 2023 Background Medical lexicons enable the natural language processing (NLP) of health texts. Lexicons gather terms and concepts from thesauri and ontologies, and linguistic data for part-of-speech (PoS) tagging, lemmatization or natural language generation.
Leonardo Campillos-Llanos
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Evaluation of the Unified Medical Language System as a Medical Knowledge Source [PDF]
Journal of the American Medical Informatics Association, 1998 The authors evaluated the use of the Unified Medical Language System (UMLS) as a medical knowledge source for the representation of medical procedures in the MAOUSSC system.MAOUSSC, a multiaxial coding system, was used for the representation of 1500 procedures from 15 clinical specialties, using UMLS concepts (augmented by full sources for three new ...
O, Bodenreider +5 more
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Mapping Scheme of Traditional Iranian Medicine Cluster’s Crotch in the Structure of Metathesaurus of Unified Medical Language System (UMLS) [PDF]
پیاورد سلامت, 2008 Background & Aim: Unified Medical Language System (UMLS) is an extensive ontology of biomedical knowledge developed and maintained by U.S. National Library of Medicine (NLM).
MR Shams Ardekani +4 more
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An exploratory study of automatic text summarization in biomedical and healthcare domain
Healthcare Analytics, 2022 In the last two decades, the uses of automatic text summarization have been realized in a wide range of applications in various fields cutting across a number of verticals. Amongst these, one of the most inquired is the domain of healthcare and medicine.
Mukesh Kumar Rohil, Varun Magotra
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