TCM Treatment Rule of Lung Cancer in Hubei Cancer Hospital Based on Data Mining and Complex Network Analysis

Abstract

Objective To explore the medication for lung cancer treatment at Hubei Cancer Hospital. Methods The electronic cases of 3 234 hospitalized lung cancer patients in Hubei Cancer Hospital were collected. The medication of the Peiyuan Guben method in treating lung cancer was analyzed with cluster and association analyses by the Apriori association rule algorithm in IBM SPSS modeler 18.0 and Qihuang data AI workstation software system. Results In the 11 293 pieces of traditional Chinese medicine used in 3 234 patients with lung cancer, the core prescription of 16 core drugs were Astragalus, Coix seed, Poria, Coke hawthorn, Ligustrum lucidum, Wolfberry, Bran fried atractylodes, Mushroom stem, Bran fried citrus husk, Bittersweet herb, Centipede, Rhodiola, Semiaquilegia adoxoides, Seaweed, Prunella and Pseudobulbus cremastrae seu pleiones. Conclusion "Peiyuan Guben" is an effective method of traditional Chinese medicine in treating lung cancer. Traditional Chinese medicine with the effects of Yiqi Jianpi and Bushen Yijing has an evident curative effect in treating lung cancer and can improve patients' quality of life.

Keywords

• network pharmacology
• data mining
• lung cancer
• deficiency of vitality
• peiyuan guben