Abstract： Objective： Based on data mining methods， to analyze the Chinese medicine medication rules of Professor ZHOU Yuhong， a famous provincial Chinese medicine practitioner， in the treatment of multiple myeloma (MM). Methods： Selected the MM patients who visited Professor ZHOU Yuhong's outpatient clinic in the Hematology Department of Zhejiang Provincial Hospital of Chinese Medicine from January 1， 2012 to May 31， 2024 and met the inclusion and exclusion criteria. The SPSS Modeler 18.0 software was used for data processing and drug frequency analysis；the Apriori algorithm in SPSS Modeler 18.0 was used for drug association rule analysis；SPSS statistics clustering algorithm was used to perform cluster analysis on core drugs. The data mining analysis results were submitted to Professor ZHOU Yuhong for review and an interview was conducted. Results：A total of 491 medical cases and 1 823 prescriptions were included，involving 1 798 Chinese medicinals. The drug frequency analysis showed that the cumulative total frequency was 30 907 times， and the top 10 Chinese medicinals were Poria， Hordei Fructus Germinatus，Citri Reticulatae Pericarpium，Atractylodis Macrocephalae Rhizoma，Pseudostellariae Radix， Ziziphi Spinosae Semen，Codonopsis Radix，Trionycis Carapax，Astragali Radix，and Bupleuri Radix. The top 10 efficacy categories of Chinese medicinals are， in order， deficiency-supplementing drugs， qirectifying drugs，urination-promoting and dampness-percolating drugs，mind-calming drugs，digestionpromoting drugs， exterior-releasing drugs， heat-clearing drugs， astringent drugs， phlegm-dissolving and cough and panting-relieving drugs， and blood invigorating and stasis-dissolving drugs. According to the frequency of channel entry of drugs，they are ranked from high to low as follows：spleen，lung，liver， kidney， stomach， heart， gallbladder， large intestine， bladder， small intestine， sanjiao， and pericardium. According to the frequency of the four qi of medicine， they are ranked from high to low， namely，neutral，warm，cold，cool，and hot. According to the frequency of the five flavors of medicine， they are ranked from high to low as follows： sweet， bitter， acrid， sour， bland， salty， and astringent. The analysis results of high-frequency drug association rules show that the core drug combinations include Citri Reticulatae Pericarpium-Poria， Poria-Hordei Fructus Germinatus， Trionycis Carapax- Pseudostellariae Radix， Citri Reticulatae Pericarpium-Pseudostellariae Radix， and Trionycis Carapax- Pseudostellariae Radix-Poria. The association rules of hardness-softening and masses-dissipating drugs were extracted and analyzed， and the core medicinal combination include Citri Reticulatae Pericarpium- Glycyrrhizae Radix et Rhizoma- Trionycis Carapax，Hordei Fructus Germinatus- Astragali Radix- Fritillariae Thunbergii Bulbus， Pinelliae Rhizoma-Fritillariae Thunbergii Bulbus， and Hordei Fructus Germinatus- Poria-Citri Reticulatae Pericarpium- Scrophulariae Radix. High frequency drug system clustering analysis obtained six clustering results： Class 1： Dioscoreae Rhizoma， Aurantii Fructus Immaturus， Cimicifugae Rhizoma，Atractylodis Macrocephalae Rhizoma，Bupleuri Radix，Ophiopogonis Radix，Angelicae Sinensis Radix， Glycyrrhizae Radix et Rhizoma， Codonopsis Radix； Class 2： Pseudostellariae Radix， Trionycis Carapax， Ziziphi Spinosae Semen， and Eucommiae Cortex； Class 3： Hordei Fructus Germinatus， Citri Reticulatae Pericarpium， Poria， Pinelliae Rhizoma， and Crataegi Fructus； Class 4： Astragali Radix， and Fritillariae Thunbergii Bulbus； Class 5： Gastrodiae Rhizoma， Fossilia Ossis Mastodi， Sugar Stevia Leaf， and Ginseng Radix et Rhizoma； Class 6： Rhodiolae Crenulatae Radix et Rhizoma. Conclusion： Professor ZHOU Yuhong's treatment for MM mainly focuses on deficiency-supplementing medicinals， followed by qi-rectifying medicinals and urination-promoting medicinals. The medication is mild and nature， and various medicinals such as qi-boosting and kidney-supplementing， qi-moving and phlegm-dissolving， and stasis-dissolving and collateral-unblocking are applied based on syndrome differentiation.