Citation screening using crowdsourcing and machine learning produced accurate results: Evaluation of Cochrane's modified Screen4Me service.

Journal: Journal of clinical epidemiology

PMID: 33007457

Abstract

OBJECTIVES: To assess the feasibility of a modified workflow that uses machine learning and crowdsourcing to identify studies for potential inclusion in a systematic review.

Authors

Anna Noel-Storr

Cochrane Dementia and Cognitive Improvement Group University of Oxford United Kingdom.
Gordon Dooley

Metaxis Ltd, Oxford, UK.
Lisa Affengruber

Department for Evidence-based Medicine and Evaluation, Danube University Krems, Krems, Austria.
Gerald Gartlehner

RTI International-University of North Carolina Evidence-based Practice Center, Research Triangle Park, NC, USA. ggartlehner@rti.org.

Keywords

Algorithms Biomedical Research Crowdsourcing Data Accuracy Data Collection Humans Machine Learning Randomized Controlled Trials as Topic Research Design Systematic Reviews as Topic

External Resources

View on PubMed Access via DOI PubMed (33007457)

Citation screening using crowdsourcing and machine learning produced accurate results: Evaluation of Cochrane's modified Screen4Me service.

Abstract

Authors

Keywords

External Resources

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