Analysis on the laws of selecting points to treat constipation based on data mining
10.3761/j.issn.0254-1769.2018.04.016
- VernacularTitle:基于数据挖掘的便秘患者选穴规律分析
- Author:
Lijian CHEN
1
;
Kun XIAO
;
Mingyue XIAO
;
Cuiling ZHANG
Author Information
1. 510370,广州市 惠爱医院神经科
- Keywords:
Constipation;
Point Massage;
Data Mining
- From:
Chinese Journal of Nursing
2018;53(4):457-461
- CountryChina
- Language:Chinese
-
Abstract:
Objective To explore the potential laws of selecting points and using point massage to treat constipation by data mining.Methods Key words such as "constipation","point massage","acupressure",and "point rubbing" were used to collect data from TCM Clinical Diagnosis and Treatment Literature Database,Chinese Biomedical Literature Database,VIP Database,and Wanfang Database.After data pre-processing,descriptive analysis of frequency and association analysis of selecting points were conducted.Results Totally 371 documents involving 89 acupuncture points were included.The study population were mostly patients in departments of neurology,orthopedics and gastroenterology.The most common points were Point Tianshu (18.52％),Point Zhongwan (10.44％),Point Zusanli(10.25％),Point Zhigou(6.22％),Point Qihai(5.72％),Point Guanyuan(5.47％) and Point Daheng(5.66％).For constipation patients with different underlying diseases,there would be adjustments in selecting points.Conclusion The laws of selecting points for patients with constipation based on data mining can help nurses have a better understanding of using point massage to treat constipation.
