Year: 2008 |
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LHNCBC-2008-050 |
Toward Automatic Recognition of High Quality Clinical Evidence. |
Kilicoglu H, Demner-Fushman D, Rindflesch TC, Wilczynski NL, Haynes RB |
AMIA Annu Symp Proc. 2008 Nov 6:368 |
Automatic methods for recognizing topically relevant documents supported by high quality research can assist clinicians in practicing evidence-based medicine. We approach the challenge of identifying articles with high quality clinical evidence as a binary classification problem. Combining predictions from supervised machine learning methods and using deep semantic features, we achieve 73.5% precision and 67% recall. |
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