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Data mining of TAN Jinchuan's experience in treating chronic renal failure |
Hits 1022 Download times 587 Received:November 24, 2020 |
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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 Name | Affiliation | E-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 |
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Abstract
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[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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