We process 22M abstracts from PubMed using this model, and extract evidence for 55946 unique interactions between 1923 supplements and 2727 drugs (precision: ...
Sep 17, 2019 · We train a model to automatically extract supplement information and identify such interactions from the scientific literature. To address the ...
Sep 6, 2024 · We then process 22M abstracts from PubMed using this model, and extract evidence for 55946 unique interactions between 1923 supplements and 2727 ...
We present SUPP.AI, an application for browsing evidence of supplement-drug interactions (SDIs) extracted from the biomedical literature.
Applying relation extraction to a large corpus of text, such as PubMed abstracts, allows for relationships to be found where they were previously unknown.
We propose an efficient and scalable system using a linear kernel to identify DDI information. The proposed approach consists of two steps: identifying DDIs.
Discovering novel drug-supplement interactions using a dietary supplements knowledge graph generated from the biomedical literature · Medicine, Computer Science.
We then process 22M abstracts from PubMed using this model, and extract evidence for 55946 unique interactions between 1923 supplements and 2727 drugs ( ...
Sep 19, 2019 · In pursuit of a better alternative, the team tapped an AI model to extract evidence for supplement-drug interactions and supplement-supplement ...
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Potential interactions are extracted by using relationships in the form of semantic predications. Semantic predications stored in SemMedDB, a database of ...