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

OBJECTIVE: The study sought to explore the use of deep learning techniques to measure the semantic relatedness between Unified Medical Language System (UMLS) concepts. MATERIALS AND METHODS: Concept sentence embeddings were generated for UMLS concepts by applying the word embedding models BioWordVec...

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Detalles Bibliográficos
Autores principales: Mao, Yuqing, Fung, Kin Wah
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2020
Materias:
Research and Applications
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7566472/
https://www.ncbi.nlm.nih.gov/pubmed/33029614
http://dx.doi.org/10.1093/jamia/ocaa136

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7566472/
https://www.ncbi.nlm.nih.gov/pubmed/33029614
http://dx.doi.org/10.1093/jamia/ocaa136

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