Natural language processing � for ( mostly population ) health
نویسندگان
چکیده
We develop a model for automatically extracting the sample size from the free text of clinical trial abstracts. We demonstrate that training this model via distant supervision (by leveraging the Cochrane Database of Systematic Reviews) results in performance comparable to a fully supervised approach, with extremely minimal explicit human annotation. This work demonstrates the promise of distantly supervised models with existing data sources for automating data extraction in the biomedical domain.
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تاریخ انتشار 2016