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An annotated corpus from biomedical articles to construct a drug-food interaction database
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Kim, Siun | - |
dc.contributor.author | Choi, Yoona | - |
dc.contributor.author | Won, Jung-Hyun | - |
dc.contributor.author | Oh, Jung Mi | - |
dc.contributor.author | Lee, Howard | - |
dc.date.accessioned | 2022-05-04T02:07:39Z | - |
dc.date.available | 2022-05-04T02:07:39Z | - |
dc.date.created | 2022-03-31 | - |
dc.date.issued | 2022-02 | - |
dc.identifier.citation | Journal of Biomedical Informatics, Vol.126, p. 103985 | - |
dc.identifier.issn | 1532-0464 | - |
dc.identifier.uri | https://hdl.handle.net/10371/179516 | - |
dc.description.abstract | Motivation: While drug-food interaction (DFI) may undermine the efficacy and safety of drugs, DFI detection has been difficult because a well-organized database for DFI did not exist. To construct a DFI database and build a natural language processing system extracting DFI from biomedical articles, we formulated the DFI extraction tasks and manually annotated texts that could have contained DFI information. In this article, we introduced a new annotated corpus for extracting DFI, the DFI corpus. Results: The DFI corpus contains 2270 abstracts of biomedical articles accessible through PubMed and 2498 sentences that contain DFI and/or drug-drug information (DDI), a substantial amount of information about drug/ food entities, evidence-levels of abstracts and relations between named entities. BERT models pre-trained on the biomedical domain achieved a F1 score 55.0% in extracting DFI key-sentences. To the best of our knowledge, theDFI corpus is the largest public corpus for drug-food interaction. Availability and implementation: Our corpus is available at https://github. com/ccadd-snu/corpus-for-DFI-extraction. | - |
dc.language | 영어 | - |
dc.publisher | Academic Press | - |
dc.title | An annotated corpus from biomedical articles to construct a drug-food interaction database | - |
dc.type | Article | - |
dc.identifier.doi | 10.1016/j.jbi.2022.103985 | - |
dc.citation.journaltitle | Journal of Biomedical Informatics | - |
dc.identifier.wosid | 000767887400008 | - |
dc.identifier.scopusid | 2-s2.0-85122495606 | - |
dc.citation.startpage | 103985 | - |
dc.citation.volume | 126 | - |
dc.description.isOpenAccess | N | - |
dc.contributor.affiliatedAuthor | Oh, Jung Mi | - |
dc.contributor.affiliatedAuthor | Lee, Howard | - |
dc.type.docType | Article | - |
dc.description.journalClass | 1 | - |
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