Unsupervised title and abstract screening for systematic review: a retrospective case-study using topic modelling methodology.

ABSTRACT:

Background

The importance of systematic reviews in collating and summarising available research output on a particular topic cannot be over-emphasized. However, initial screening of retrieved literature is significantly time and labour intensive. Attempts at automating parts of the systematic review process have been made with varying degree of success partly due to being domain-specific, requiring vendor-specific software or manually labelled training data. Our primary objective was to develop statistical methodology for performing automated title and abstract screening for systematic reviews. Secondary objectives included (1) to retrospectively apply the automated screening methodology to previously manually screened systematic reviews and (2) to characterize the performance of t

SUBMITTER: Natukunda A 

PROVIDER: S-EPMC9811792 | biostudies-literature | 2023 Jan

REPOSITORIES: biostudies-literature