The paper introduces the study on named entity recognition and model application, conducts extraction of entities such as Traditional Chinese Medicine(TCM) diseases, prescription, Chinese herbal medicine, etc., by adoption of deep learning method and taking TCM classics as data sources, designs the model for sequencing tagging-BiLSTM-CRF. It also conducts experiments by building corpus of experiments in TCM classics. The result shows that the aforesaid model algorithm is of high accuracy.