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...

Full description

Bibliographic Details

Published in:	Proceedings of the ... International World-Wide Web Conference. International WWW Conference Vol. 2022; p. 1037
Main Authors:	Nguyen, Vinh, Yip, Hong Yung, Bajaj, Goonmeet, Wijesiriwardene, Thilini, Javangula, Vishesh, Parthasarathy, Srinivasan, Sheth, Amit, Bodenreider, Olivier
Format:	Journal Article
Language:	English
Published:	Netherlands 01.04.2022
Subjects:	knowledge graph embeddings supervised learning scalability vocabulary alignment UMLS Metathesaurus neural networks
Online Access:	Get more information
Tags:	Add Tag No Tags, Be the first to tag this record!