Text mining to support abstract screening for knowledge syntheses: a semi-automated workflow
Pham B, Jovanovic J, Bagheri E, Antony J, Ashoor H, Nguyen TT, Rios P, Robson R, Thomas SM, Watt J, Straus SE, Tricco AC. Text mining to support abstract screening for knowledge syntheses: a semi-automated workflow. Syst Rev. 2021 May 26;10(1):156. doi: 10.1186/s13643-021-01700-x.
[sidebar] Funder: Ontario Ministry of Research, Innovation, and Science Early Researcher Award (2015 to 2020)
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[ssba-buttons] [/sidebar] [sidebar-content]- Current text mining tools supporting abstract screening in systematic reviews are not widely used, in part because they lack both sensitivity and precision
- This study set out to develop an accessible, semi-automated “workflow” to conduct abstract screening for systematic reviews and other knowledge syntheses, such as scoping reviews and systematic reviews with network meta-analyses
- We created a workflow that was a sensitive, precise, and efficient alternative to the recommended practice of screening abstracts with two reviewers
- The proposed workflow identified virtually all eligible studies. We have made it available to reviewers
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Category : KS Projects
Date : 29 Jul 2021