Context-Enriched Learning Models for Aligning Biomedical Vocabularies at Scale in the UMLS Metathesaurus

The Unified Medical Language System (UMLS) Metathesaurus construction process mainly relies on lexical algorithms and manual expert curation for integrating over 200 biomedical vocabularies. A lexical-based learning model (LexLM) was developed to predict synonymy among Metathesaurus terms and largel...

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Vydané v:	Proceedings of the ... International World-Wide Web Conference. International WWW Conference Ročník 2022; s. 1037
Hlavní autori:	Nguyen, Vinh, Yip, Hong Yung, Bajaj, Goonmeet, Wijesiriwardene, Thilini, Javangula, Vishesh, Parthasarathy, Srinivasan, Sheth, Amit, Bodenreider, Olivier
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Netherlands 01.04.2022
Predmet:	knowledge graph embeddings supervised learning scalability vocabulary alignment UMLS Metathesaurus neural networks
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