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Extracting relations between outcomes and significance levels in Randomized Controlled Trials (RCTs) publications
2019
Proceedings of the 18th BioNLP Workshop and Shared Task
Randomized controlled trials assess the effects of an experimental intervention by comparing it to a control intervention with regard to some variables -trial outcomes. Statistical hypothesis testing is used to test if the experimental intervention is superior to the control. Statistical significance is typically reported for the measured outcomes and is an important characteristic of the results. We propose a machine learning approach to automatically extract reported outcomes, significance
doi:10.18653/v1/w19-5038
dblp:conf/bionlp/KorolevaP19
fatcat:viqrkrhqu5fdzhmbaydkkcwhbi