Use of word and graph embedding to measure semantic relatedness between Unified Medical Language System concepts.

Journal: Journal of the American Medical Informatics Association : JAMIA

Published Date: Oct 1, 2020

Abstract

OBJECTIVE: The study sought to explore the use of deep learning techniques to measure the semantic relatedness between Unified Medical Language System (UMLS) concepts.

Authors

Yuqing Mao

Nanjing University of Chinese Medicine, 138 Xianlin Avenue, Nanjing, Jiangsu, 210023, China.
Kin Wah Fung

National Library of Medicine, Bethesda, MD, USA.

Keywords

Deep Learning Medical Subject Headings Natural Language Processing ROC Curve Semantics Terminology as Topic Unified Medical Language System

External Resources

View on PubMed Access via DOI PubMed (33029614)

Use of word and graph embedding to measure semantic relatedness between Unified Medical Language System concepts.

Abstract

Authors

Keywords

External Resources

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