Adapting existing natural language processing resources for cardiovascular risk factors identification in clinical notes

•We used natural language processing (NLP) to extract heart disease risk factors.•Components were adapted from two existing NLP applications.•We used existing tools without feature engineering or re-training of models.•Our system achieved an overall micro-averaged F1-measure of 87.47%.•Adapting existing tools allowed for performance comparable to sophisticated systems.