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A Modified Skip-Gram Algorithm for Extracting Drug-Drug Interactions from AERS Reports
Joint Authors
Wang, Li
Pan, Wenjie
Wang, QingHua
Bai, Heming
Liu, Wei
Jiang, Lei
Zhang, Yuanpeng
Source
Computational and Mathematical Methods in Medicine
Issue
Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-9, 9 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2020-04-13
Country of Publication
Egypt
No. of Pages
9
Main Subjects
Abstract EN
Drug-drug interactions (DDIs) are one of the indispensable factors leading to adverse event reactions.
Considering the unique structure of AERS (Food and Drug Administration Adverse Event Reporting System (FDA AERS)) reports, we changed the scope of the window value in the original skip-gram algorithm, then propose a language concept representation model and extract features of drug name and reaction information from large-scale AERS reports.
The validation of our scheme was tested and verified by comparing with vectors originated from the cooccurrence matrix in tenfold cross-validation.
In the verification of description enrichment of the DrugBank DDI database, accuracy was calculated for measurement.
The average area under the receiver operating characteristic curve of logistic regression classifiers based on the proposed language model is 6% higher than that of the cooccurrence matrix.
At the same time, the average accuracy in five severe adverse event classes is 88%.
These results indicate that our language model can be useful for extracting drug and reaction features from large-scale AERS reports.
American Psychological Association (APA)
Wang, Li& Pan, Wenjie& Wang, QingHua& Bai, Heming& Liu, Wei& Jiang, Lei…[et al.]. 2020. A Modified Skip-Gram Algorithm for Extracting Drug-Drug Interactions from AERS Reports. Computational and Mathematical Methods in Medicine،Vol. 2020, no. 2020, pp.1-9.
https://search.emarefa.net/detail/BIM-1139348
Modern Language Association (MLA)
Wang, Li…[et al.]. A Modified Skip-Gram Algorithm for Extracting Drug-Drug Interactions from AERS Reports. Computational and Mathematical Methods in Medicine No. 2020 (2020), pp.1-9.
https://search.emarefa.net/detail/BIM-1139348
American Medical Association (AMA)
Wang, Li& Pan, Wenjie& Wang, QingHua& Bai, Heming& Liu, Wei& Jiang, Lei…[et al.]. A Modified Skip-Gram Algorithm for Extracting Drug-Drug Interactions from AERS Reports. Computational and Mathematical Methods in Medicine. 2020. Vol. 2020, no. 2020, pp.1-9.
https://search.emarefa.net/detail/BIM-1139348
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1139348