Objective To analyse Professor Lv Guangrong’s medication patterns in treating malignant tumours with Chinese medicine using data mining technology. Methods Clinical data of all malignant tumour patients treated by Professor Lv Guangrong in the outpatient department of Yunnan Province Chinese Medicine Hospital were collected. We conducted frequency analysis, co-occurrence analysis，and association rule exploration of the drug data using R4.3.2 software, which included clustering and correlation analysis of frequently used drugs. Results We included 254 prescriptions that met the criteria, involving 178 Chinese herbs in the results. The most frequently used herb was Bai Zhu(229 times), with warm properties(39.89%) being the predominant nature and sweet flavour(31.64%) being the most common taste. The liver meridian had the highest frequency(20.14%). The highest co-occurrence was Bai Zhu-Huang Qi(188 times). The three association rules with the highest support were Chen Pi, Huang Qi => Bai Zhu, with the optimal number of clusters being five, and three combinations of herbs showing high correlation. Conclusion In treating malignant tumours, Professor Lv Guangrong focuses on nourishing deficiency, supporting righteousness, activating Qi, and promoting blood circulation, mainly using herbs such as Bai Zhu and Huang Qi to regulate Qi and blood, enhance vital energy, and prevent the invasion of pathogenic factors, exemplifying the essence of syndrome differentiation and treatment in Chinese medicine.