Confidence-Based Stopping Methods for Systematic Reviews
A new paper introduces two heuristic stopping methods for Technology Assisted Review (TAR) that aim to optimize document screening in systematic reviews. Unlike existing methods focused on recall, these new approaches monitor the information content of screened documents to determine when an information need has been met. Evaluations on a dataset of Diagnostic Test Accuracy Systematic Reviews indicate that these methods can significantly reduce the number of documents examined while largely preserving the conclusions drawn from the complete evidence set. AI