Based on the data mining technology, to mine and analyze the core prescriptions and compatibility rules of the treatment of pancreatic cancer in the journal literature, so as to provide the basis for the differentiation and treatment of pancreatic cancer. Methods: all traditional Chinese medicine prescriptions for the treatment of "pancreatic cancer" and "pancreatic head cancer" were retrieved from the database of CNKI. The database was established by WPS excel 2019 for frequency analysis, and the high-frequency drug properties and meridian related analysis were carried out by SPSS Clementine 12.0 software. Results: 114 prescriptions of traditional Chinese medicine were screened out, involving 162 prescriptions of traditional Chinese medicine, and 54 prescriptions of high frequency drugs (≥ 10 times) were obtained. It is mainly composed of heat clearing medicine and tonic medicine. Its sexual taste is mainly composed of warm, calm and cold. The most of them are liver and spleen meridians. The core drugs for pancreatic cancer were Poria cocos, Atractylodes macrocephala, dangshen, Pinellia ternate, tangerine peel, liquorice, Astragalus membranaceus and Hedyotis diffusa. And get pinellia, Atractylodes macrocephala, Poria, temperature, Xin, spleen, Xin, Gan, bitter and other drugs, performance combination. Conclusion: through this study, it is reflected that the treatment of pancreatic cancer should be mild and gentle, and at the same time, it should take into account the spleen and stomach transportation, supporting Qi, emphasizing that TCM should pay attention to the combination of disease and syndrome differentiation in the treatment of pancreatic cancer, which can provide clinical basis for the prescription of pancreatic cancer.

Yage Zhao, Hailong Si. Study on the Law of Traditional Chinese Medicine Use of Pancreatic Cancer Based on Data Mining. International Journal of Frontiers in Medicine (2023), Vol. 5, Issue 6: 118-123. https://doi.org/10.25236/IJFM.2023.050618.

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