Analysis of virtual labor medication rules and clinical experience based on data mining
10.3969/j.issn.1673-9701.2025.29.011
- VernacularTitle:基于数据挖掘的虚劳用药规律及临床经验分析
- Author:
Ting WANG
1
;
Yahui CHANG
;
Zujie QIN
;
Chenglong WANG
;
Meng ZHANG
;
Yangmeng CAO
;
Siyan DENG
Author Information
1. 广西中医药大学壮医临床医学院,广西南宁 530201
- Publication Type:Journal Article
- Keywords:
Virtual labor;
Medication rules;
Data mining;
Clinical experience
- From:
China Modern Doctor
2025;63(29):43-46,55
- CountryChina
- Language:Chinese
-
Abstract:
Objective To analyze the medication rules and clinical experience of Qin Zujie in treating virtual labor based on data mining.Methods Outpatient medical records of Qin Zujie,diagnosed with deficiency syndrome at Ethnic Medicine Characteristic Diagnosis and Treatment Center,Guangxi International Zhuang Medical Hospital from January to December 2024 were selected.A standardized database was established and processed,yielding 148 clinical prescriptions containing 171 herbal ingredients.Frequency analysis,association rule analysis,and cluster analysis were employed to examine medication rules and clinical experience.Results The 20 Chinese herbal ingredients used more than 30 times each,with the first three being Zhigancao,Baizhu,Danggui.These herbs are primarily warm in nature,neutral in temperature,and slightly cold in effect,characterized by sweet,pungent,and bitter flavors.They mainly affect the spleen meridian and function to tonify deficiency,with Qi-tonifying herbs being the most common.Through association rule analysis,the most frequently combined pairs were Baizhu-Dangshen.Cluster analysis identified three core prescription clusters.Conclusion Qin Zujie's academic thought of treating virtual labor is to supplement deficiency as the main,detoxification as the auxiliary,and treat both the symptoms and the causes.
