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| Study on medication rules of Professor Du Yumao in the treatment of chronic renal failure based on data mining |
| HU Die1 LENG Wei2 TIAN Wenna2 DU Zhifeng3 |
1.The First Clinical Medical College, Shaanxi University of Chinese Medicine, Shaanxi Province, Xianyang 712000, China;
2.Department of Rheumatic Immunology and Hematology, Affiliated Hospital of Shaanxi University of Chinese Medicine, Shaanxi Province, Xianyang 712000, China;
3.Academic School Inheritance Studio of Shaanxi Du’s Kidney Disease, Yumao Hospital, Shaanxi Province, Xianyang 712000, China
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Abstract Objective To explore medication rules of Professor Du Yumao in the treatment of chronic renal failure based on data mining technology. Methods The medical records of chronic kidney failure patients treated by Professor Du from January 1998 to December 2011 were collected and organized based on the medical records of Xianyang Yumao Hospital. The traditional Chinese medicine inheritance assistance platform (V2.5) was applied to statistical analysis of medication frequency, sexual taste and meridian distribution. Association rules and clustering algorithms were used to derive commonly used drug combinations and potential new prescriptions. Results A total of 640 prescriptions that met the research criteria were included, involving 214 traditional Chinese medicines. Among them, 59 flavors with medication frequency more than 40 times. It was found that Professor Du in the treatment of chronic renal failure mainly consists of tonifying deficiency drugs, diuretic and dampness absorbing drugs, and blood activating and stasis resolving drugs. Among them, Atractylodis Macrocephalae Rhizoma was the preferred method for tonifying qi, Epimedii Folium was commonly used for tonifying yang, and Asparagi Radix was commonly used for nourishing yin. The medicinal properties of the medicine were mainly cold and warm, and the medicinal flavors were mainly sweet, bitter, and spicy, mainly classified into the liver and spleen meridians. Through association rule analysis, eight core drugs were obtained, including Atractylodis Macrocephalae Rhizoma, Astr- agali Radix, Poria, Salviae Miltiorrhizae Radix Et Rhizoma, Bupleuri Radix, Scutellariae Radix, Chuanxiong Rhizoma, and Polygoni Cuspidati Rhizoma Et Radix. Fourteen association rules for two drugs were obtained, and 25 association rules for three drugs were obtained. Four potential new parties were identified through cluster analysis. Conclusion This study analyzes the medication rules of Professor Du in the treatment of chronic kidney failure and identifies potential new prescriptions, which have guiding significance for clinical treatment.
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