Article ; Online: Cluster analysis of Qian Jing-hua's experience in treatment of lung cancer
TMR Theory and Hypothesis, Vol 1, Iss 3, Pp 54-
2018 Volume 62
Abstract: Objective to analyze the rule of drug use in treating lung cancer disease by using the theory of fuzheng and dispelling evil in traditional Chinese medicine by data mining. Methods: By following Dr. Qianjinghua's outpatient department, we collected the ... ...
| Abstract | Objective to analyze the rule of drug use in treating lung cancer disease by using the theory of fuzheng and dispelling evil in traditional Chinese medicine by data mining. Methods: By following Dr. Qianjinghua's outpatient department, we collected the prescription for the treatment of lung cancer by using frequency analysis, association rule analysis and cluster analysis. Results: 746 prescriptions were included in this study, commonly used drugs 170 flavors. Traditional Chinese medicine with a high frequency of use were Baihuasheshecao (Hedyotis diffusa), Maorenshen (Actinidia valvata Dunn), Shishangbai (Selaginella doederleinii Hieron), Shijianchuan (Salvia chinensis Benth), Huangqi (Astragali Radix), Sanyeqing (Tetrastlgma hemsleyanum), Baimaoteng (HerbaSolani), Zhuling (Polyporus), Nvzhenzi (Ligustrum lucidum Ait) etc. Through the analysis of association rule, we find out the core prescription according to the support degree (10 %, 20 %, 30 %) and the confidence degree, and set the correlation degree to 8 and punishment degree to 2. Finally: The core prescription efficacy of the drug group was analyzed and the theoretical connotation of preventive treatment of disease was obtained. Conclusion: The core prescription of preventive treatment of disease is to clear up heat and detoxification on the basis of strengthening the spleen, replenishing qi and tonifying kidney. The use of blood supplements and yin tonics throughout the course is reduced during treatments. The treatments also pay attention to the function of spleen and stomach of lung cancer patients, and adjust heat and detoxification force according to different conditions of patients and pay attention to the relief of patients’ emotions. |
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| Keywords | Data mining technology ; Lung cancer ; Help the right and remove evil spirits ; Association rules ; Medicine (General) ; R5-920 |
| Subject code | 610 |
| Language | English |
| Publishing date | 2018-06-01T00:00:00Z |
| Publisher | TMR publishing group |
| Document type | Article ; Online |
| Database | BASE - Bielefeld Academic Search Engine (life sciences selection) |
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