A hybrid model for automatic identification of risk factors for heart disease

•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%.