Key result
Hybrid NLP system achieves ~0.92 F-measure for identifying heart disease risk factors.
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A hybrid NLP system can effectively identify heart disease risk factors from medical records with high accuracy.
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Yang et al. (2015) studied Coronary artery disease risk factors. Hybrid NLP information extraction system vs. Best system in the challenge was evaluated on Micro-averaged F-measure for identifying risk factors. A hybrid NLP system combining machine learning, rule-based methods, and dictionary-based keyword spotting achieved an overall micro-averaged F-measure of 0.915 for identifying heart disease risk factors.
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