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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...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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Oxford University Press
2020
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| 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 |