RobotSearch RCT classification models

integration_instructionsResearch softwarekeyboard_double_arrow_right Software 13 Jan 2018Publisher:ZenodoFunded by:NIH | Crowdsourcing Mark-up of ..., UKRI | RobotReviewer: developmen..., NIH | Hybrid Approaches to Opti... +1 projects

Authors: Marshall, Iain J; Noel-Storr, Anna; Kuiper, Joël; Thomas, James; Wallace, Byron C;

doi: 10.5281/zenodo.1146798 , 10.5281/zenodo.1146799

RobotSearch RCT classification models

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Abstract

Models as described in: Marshall I, Storr AN, Kuiper J, Thomas J, Wallace BC. Machine Learning for Identifying Randomized Controlled Trials: an evaluation and practitioner's guide. Res Syn Meth. 2018. https://doi.org/10.1002/jrsm.1287 For use in RobotSearch software (https://github.com/ijmarshall/robotsearch)

{"references": ["Marshall I,\u00a0Storr AN,\u00a0Kuiper J,\u00a0Thomas J,\u00a0Wallace BC.\u00a0Machine Learning for Identifying Randomized Controlled Trials: an evaluation and practitioner's guide.\u00a0Res Syn Meth.\u00a02018.\u00a0https://doi.org/10.1002/jrsm.1287"]}

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Keywords

Systematic Reviews, Machine learning, RobotReviewer, Randomized Controlled Trials

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Machine learning for identifying Randomized Controlled Trials: An evaluation and practitioner's guide
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