Title of article
Data mining analysis of Professor Liu Shangyi s prescription characteristics in clinical medicine for the treatment of cancer patients with stomachache
Author/Authors
Huang ، Wen-Qi Guiyang College of TCM , Yang ، Zhu Guiyang College of TCM , Tang ، Dong-Xin The First Affiliated Hospital of Guiyang College of Traditional Chinese Medicine , Luo ، Li The First Affiliated Hospital of Guiyang College of Traditional Chinese Medicine , Long ، Feng-Xi Guiyang College of TCM , Wang ، Jing-Hui The First Affiliated Hospital of Guiyang College of Traditional Chinese Medicine , Yang ، Bing Guiyang College of TCM
Pages
10
From page
52
To page
61
Abstract
Objective: To analyze National Chinese Medicine Master Liu Shangyi’s prescription characteristics of clinical medicine for the treatment of cancer patients with stomachache. Methods: Data on prescriptions for cancer patients with stomachache between January 2014 and July 2016 were collected. The composing principles were analyzed by unsupervised data mining methods including Apriori algorithm in association rules and complex system entropy cluster. Results: Based on the analysis of 120 prescriptions, the frequency of each herb and association rules among the herbs were computed. Four core combinations and two new prescriptions were mined from the database. Compared to the before treatment, the clinical symptomatic grading of stomachache after treatment was lower (P 0.001). Conclusion: Professor Liu has been successful in the treatment of cancer patients with stomachache by prescribing medication that aids in activating blood circulation, removing dampness, and alleviating pain.
Keywords
National Chinese Medicine Master , Liu Shangyi , Tumor , Stomachache
Journal title
Traditional Medicine Research
Serial Year
2018
Journal title
Traditional Medicine Research
Record number
2471251
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