A hybrid model for automatic identification of risk factors for heart disease
Journal of Biomedical Informatics(2015)
摘要
•Risk factor detection is of great importance for the treatment of heart disease.•Machine learning techniques combined with keywords and rule-based approaches.•7 main heart disease risk factors with relevant medications are identified.•Achieving an overall micro-averaged F-measure of 91.56%.
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关键词
Risk factors,Heart disease,Machine learning,Rule-based approach,Hybrid model,Natural language processing,Clinical text mining
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