De-identification of clinical notes via recurrent neural network and conditional random field

•We propose a hybrid method based on RNN and CRF for de-identification.•Extend the LSTM-based model by adding some context features to neural network.•An ensemble classifier is deployed to combine results of different methods.•Our system achieves a strict F1-score of 91.43% on N-GRID corpus, which ranks first.