Objective

2

To build the knowledge graph for diagnosis and treatment of primary bronchial lung cancer （abbreviated as lung cancer） with the clinical experience of traditional Chinese medicine （TCM） master ZHOU Zhongying， laying a foundation for the subsequent application of knowledge graph in the inheritance of famous TCM physicians' experience.

Methods

2

The clinical cases of lung cancer treated by TCM master ZHOU Zhongying were taken， and his academic thought as well as diagnosis and treatment path of lung cancer were summarized， so as to build the model layer of knowledge graph. And the medical entities of symptoms， tongue manifestations and pulse manifestation were extracted by Bert-BiLSTM-CRF to form the data layer of knowledge graph. The knowledge graph was constructed in the Neo4j database， and example was given to illustrate how to use it.

Results

2

Totally， 446 medical cases （576 visits） that met the inclusion criteria were entered with data normalization， to establish a medical records database of TCM master ZHOU Zhongying in diagnosis and treatment of lung cancer with Excel 2016 software. In the Neo4j database， 9 entities labels including pathogenesis， symptoms， disease location， pathological factors， disease nature， tongue manifestations， pulse manifestations， Chinese herbal medicine， and treatment principle， and 9 types of relationships including pathogenesis-symptoms， pathogenesis-tongue manifestations， pathogenesis-pulse manifestations， pathogenesis-pathological factors， pathogenesis-disease location， pathogenesis-disease nature， pathogenesis-treatment principle， and pathological factors-Chinese herbal medicine were created， involving 1281 nodes and 7791 relationships， which had the functions of visual display and semantic retrieval of ZHOU Zhongying's know-ledge system of diagnosis and treatment of lung cancer.

Conclusion

2

Knowledge graph based on Neo4j database is an effective tool to objectively display the disease symptoms and visualize ZHOU's treatment principle and medication rules in treating lung cancer.