https://www.selleckchem.com/pr....oducts/picropodophyl
Few data-driven approaches are available to estimate the risk of conclusion change in systematic review updates. We developed a rule-based approach to automatically extract information from reviews and updates to be used as features for modelling conclusion change risk. Rules were developed to extract relevant information from published Cochrane reviews and used to construct four features the number of included trials and participants in the reviews, a measure based on the number of participants, and the time elapsed betwee
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