Deep Denoising of Raw Biomedical Knowledge Graph From COVID-19 Literature, LitCovid, and Pubtator: Framework Development and Validation

• Главные авторы: Chao Jiang (Автор), Victoria Ngo (Автор), Richard Chapman (Автор), Yue Yu (Автор), Hongfang Liu (Автор), Guoqian Jiang (Автор), Nansu Zong (Автор)
• Формат: ‌
• Опубликовано: JMIR Publications, 2022-07-01T00:00:00Z.
• Предметы: article
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BackgroundMultiple types of biomedical associations of knowledge graphs, including COVID-19-related ones, are constructed based on co-occurring biomedical entities retrieved from recent literature. However, the applications derived from these raw graphs (eg, association predictions among genes, drug...