Text Snippets to Corroborate Medical Relations: An Unsupervised Approach using a Knowledge Graph and Embeddings.

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Bibliographic Details
Title: Text Snippets to Corroborate Medical Relations: An Unsupervised Approach using a Knowledge Graph and Embeddings.
Authors: Kamdar MR; Elsevier, Health and Commercial Markets, Philadelphia, PA., Stanley CE; Elsevier, Health and Commercial Markets, Philadelphia, PA., Carroll M; Elsevier, Health and Commercial Markets, Philadelphia, PA., Wogulis L; Elsevier, Health and Commercial Markets, Philadelphia, PA., Dowling W; Elsevier, Health and Commercial Markets, Philadelphia, PA., Deus HF; Elsevier, Health and Commercial Markets, Philadelphia, PA., Samarasinghe M; Elsevier, Health and Commercial Markets, Philadelphia, PA.
Source: AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science [AMIA Jt Summits Transl Sci Proc] 2020 May 30; Vol. 2020, pp. 288-297. Date of Electronic Publication: 2020 May 30 (Print Publication: 2020).
Publication Type: Journal Article
Journal Info: Publisher: AMIA Country of Publication: United States NLM ID: 101539486 Publication Model: eCollection Cited Medium: Print ISSN: 2153-4063 (Print) NLM ISO Abbreviation: AMIA Jt Summits Transl Sci Proc Subsets: PubMed not MEDLINE
Database: MEDLINE Ultimate
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ISSN:2153-4063