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.

Details

Title
Data mining analysis of Professor Liu Shangyi’s prescription characteristics in clinical medicine for the treatment of cancer patients with stomachache
Author
Wen-Qi, Huang; Zhu, Yang; Dong-Xin, Tang
Pages
52-61
Publication year
2018
Publication date
2018
Publisher
TMR Publishing Group
ISSN
24133973
Source type
Scholarly Journal
Language of publication
English
DOI
https://doi.org/10.12032/TMR201809064
ProQuest document ID
2453679234
Copyright
© 2018. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.