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New TAR methods reduce document screening in systematic reviews

By PulseAugur Editorial · [1 sources] ·

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

RANK_REASON The cluster contains a research paper published on arXiv detailing new methods for systematic reviews. [lever_c_demoted from research: ic=1 ai=0.4]

Read on arXiv cs.IR (Information Retrieval) →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

New TAR methods reduce document screening in systematic reviews

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The cluster contains a research paper published on arXiv detailing new methods for systematic reviews. [lever_c_demoted from research: ic=1 ai=0.4]
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COVERAGE [1]

  1. arXiv cs.IR (Information Retrieval) TIER_1 English(EN) · Mark Stevenson ·

    Confidence-Based Stopping Methods for Systematic Reviews

    Technology Assisted Review stopping methods aim to ensure that no more documents are screened than necessary. Most existing approaches focus on achieving a target recall, which does not consider whether an information need has been met. This paper introduces two heuristic stoppin…

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