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Adversarial Learning of Knowledge Embeddings for the Unified Medical Language System
Incorporating the knowledge encoded in the Unified Medical Language System (UMLS) in deep learning methods requires learning knowledge embeddings from the knowledge graphs available in UMLS: the Metathesaurus and the Semantic Network. In this paper we present a technique using Generative Adversarial...
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| Veröffentlicht in: | AMIA Jt Summits Transl Sci Proc |
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| Hauptverfasser: | , , |
| Format: | Artigo |
| Sprache: | Inglês |
| Veröffentlicht: |
American Medical Informatics Association
2019
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| Schlagworte: | |
| Online Zugang: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6568073/ https://ncbi.nlm.nih.gov/pubmed/31259009 |
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