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

Research article (Journal of the American Medical Informatics Association, 2020) · cited 34× · AI/ML
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Use of word and graph embedding to measure semantic relatedness between Unified Medical Language System concepts

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Use of word and graph embedding to measure semantic relatedness between Unified Medical Language System concepts is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Use of word and graph embedding to measure semantic relatedness between Unified Medical Language System concepts. Retrieved May 24, 2026, from https://4ort.xyz/entity/use-of-word-and-graph-embedding-to-measure-semantic-relatedness-between-unified-medical-language-system-concepts
MLA “Use of word and graph embedding to measure semantic relatedness between Unified Medical Language System concepts.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/use-of-word-and-graph-embedding-to-measure-semantic-relatedness-between-unified-medical-language-system-concepts.
BibTeX @misc{4ortxyz_use-of-word-and-graph-embedding-to-measure-semantic-relatedness-between-unified-medical-language-system-concepts_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Use of word and graph embedding to measure semantic relatedness between Unified Medical Language System concepts}}, year = {2026}, url = {https://4ort.xyz/entity/use-of-word-and-graph-embedding-to-measure-semantic-relatedness-between-unified-medical-language-system-concepts}, note = {Accessed: 2026-05-24}}
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