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Identifying reports of randomized controlled trials (RCTs) via a hybrid machine learning and crowdsourcing approach

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Identifying all published reports of randomized controlled trials (RCTs) is an important aim, but it requires extensive manual effort to separate RCTs from non-RCTs, even using current machine learning (ML) approaches. We aimed to make this process more efficient via a hybrid approach using both crowdsourcing and ML.

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Nội dung Text: Identifying reports of randomized controlled trials (RCTs) via a hybrid machine learning and crowdsourcing approach

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