A corpus-oriented perspective on terminologies of side effect and adverse reaction in support of text retrieval for drug repurposing. (2018)

• Record Type: Journal Article
• Authors: Fang, Alex Chengyu; Liu, Yemao; Lu, Yaping; Cao, Jing; Xia, Jingbo
• Is Part Of: International journal of data mining and bioinformatics. Volume 21:Number 3(2018)
• Page Start: 269
• Page End: 286
• Publication Date: 2018
• Subjects: terminology -- Jacquard similarity coefficient -- text retrieval -- side effects -- adverse reaction; Data mining -- Periodicals; Bioinformatics -- Periodicals; 006.312
• Languages: English
• ISSNs: 1748-5673

Abstract

Text resource selection is a primary concern for efficient and wide-coverage document processing for the extraction of required bio-medical information, while size control and topic relevance are key issues to ensure high-quality output from the retrieval system. In this study, we analysed terms and terminologies used for adverse reaction and side effect of drugs. Furthermore, we proposed an effective strategy that used an intersection of unions of both 'adverse react' hyponyms and 'side effect' hyponyms to evaluate their semantic relationships, including the similarities and differences, in massive biomedical texts. Our results showed that the hyponyms related to these two superordinates perform differently in their use as signifiers of relevant documents. Our proposed strategy resulted in an optimal trade-off for relevant abstract retrieval, followed with empirical work of drug/gene matching in order to test the proposed strategy. The results also confirmed that the strategy was capable of maintaining a good trade-off between text size and content relevance.