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The risk of conclusion change in systematic review updates can be estimated by learning from a database of published

Rabia Bashir1, Didi Surian1, Adam G Dunn2

  • 1Centre for Health Informatics, Australian Institute of Health Innovation, Macquarie University, Sydney, New South Wales 2109, Australia.

Journal of Clinical Epidemiology
|March 9, 2019
PubMed
Abstract

Keywords:
Automation of systematic reviewsClassification treesClinical trial registriesMachine learningSystematic reviews as topicUpdating systematic reviews

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