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Data mining of TAN Jinchuan's experience in treating chronic renal failure
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DOI   10.11656/j.issn.1672-1519.2021.03.18
Key Words   chronic renal failure;clustering method;data mining method;experience in using traditional Chinese medicine
Author NameAffiliationE-mail
WANG Zeze Graduate School, Hebei University of Traditional Chinese Medicine, Shijiazhuang 050091, China  
GAO Fei Graduate School, Hebei University of Traditional Chinese Medicine, Shijiazhuang 050091, China  
YU Xiangze Graduate School, Hebei University of Traditional Chinese Medicine, Shijiazhuang 050091, China  
ZHANG Junxia Department 1 of Nephrology, Affiliated Hospital of Hebei University of Traditional Chinese Medicine, Shijiazhuang 050011, China  
TAN Jinchuan Department 1 of Nephrology, Affiliated Hospital of Hebei University of Traditional Chinese Medicine, Shijiazhuang 050011, China 1955981973@qq.com 
Abstract
    [Objective] To summarize the characteristics and rules of Professor TAN Jinchuan's treatment of chronic renal failure, and to explore his medication experience.[Methods] The effective outpatient medical records of Professor TAN Jinchuan's treatment of chronic renal failure from January 2016 to April 2019 were collected by retrospective study. EpiData 3.1 software package was used for data entry, and Excel 2013, SPSS19.0 and R3.5 software packages were used for statistical analysis and data mining.[Results] A total of 433 prescriptions of traditional Chinese medicine were included, and 155 kinds of drugs were used. The total frequency of occurrence was 7 198 times. Data analysis showed that there were 6 groups of commonly used prescriptions.[Conclusion] Professor TAN Jinchuan's treatment of chronic renal failure is based on warming spleen and kidney, promoting blood circulation, removing turbidity and detoxification.

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