山西中医药大学学报2026，Vol.27Issue(2)：119-125,7.DOI:10.19763/j.cnki.2096-7403.2026.02.09
基于数据挖掘王永吉教授辨治儿童非特异性功能性腹痛用药规律研究
Study on the medication patterns of professor Wang Yongji in diagnosing and treating pediatric non-specific functional abdominal pain based on data mining
摘要
Abstract
Objective:To employ data mining techniques for a multidimensional analysis of professor Wang Yongji's medication patterns in treating pediatric functional abdominal pain(FAP-NOS),thereby providing insights and references for clinical management of non-specific.Methods:Outpatient records of pediatric FAP cases treated by professor Wang Yongji at the main campus and the Children's Diagnosis and Treatment Center of the Affiliated Hospital of Changchun Uni-versity of Chinese Medicine from May 2024 to April 2025 were collected.A database was established using Excel 2021.Standardized herbal prescription data were analyzed via the"Gujin Yi'an Cloud Platform"(version 2.3.9)regarding fre-quency and rate of herb usage,natures and flavors,meridian tropism,therapeutic functions,association rules,hierarchical clustering,and complex network analysis.Results:A total of 270 prescriptions involving 135 distinct herbs were included,with a total herb usage frequency of 4111.The most frequently used herbs were Gancao,Baishao,Ezhu,Sanleng,and Yanhusuo.In terms of the four natures and five flavors,the herbs were predominantly warm or mild in nature and bitter,pungent,or sweet in taste.The meridian tropism was the spleen and liver meridians,followed by the stomach and lung me-ridians.Core therapeutic actions included,regulating Qi,promoting digestion,eliminating blood stasis,relieving cough and asthma,promoting blood circulation and relieving pain,as well as tonifying Qi and blood.Association rule analysis identi-fied common herb pairs such as"Gancao-Baishao""Ezhu-Sanleng"and"Gancao-Yanhusuo".Hierarchical clustering grouped the top 20 most frequently used herbs into five clusters.Cluster I:Gancao,Baishao,Ezhu,Sanleng,Yanhusuo;Cluster II:Laifuzi,Zhishi,Mianma Guanzhong,Binglang,Chishao,Longdancao;Cluster III:Jineijin,Maiya,Liush-enqu;Cluster IV:Muxiang,Chenpi;Cluster V:Baibu,Baihe,Sangbaipi,Digupi.To better reflect actual clinical medi-cation practices,and in consideration of real-world clinical application,subgroup analysis of Cluster II was performed based on a linkage distance threshold of≥10.5,yielding subgroup a(Laifuzi,Zhishi,Mianma Guanzhong,Binglang)and subgroup b(Chishao,Longdancao).Complex network analysis revealed a core herbal formula comprising Gancao,Baishao,Ezhu,Sanleng,Yanhusuo,Laifuzi,Digupi,Chenpi,Sangbaipi,Muxiang,Baibu,Zhishi,Binglang,Baihe,Jineijin,and Maiya.Conclusion:Professor Wang Yongji's approach to diagnosing and treating pediatric FAP-NOS centers on the principle of"unblocking"—focusing on regulating Qi movement and unblocking meridians,while simultaneously harmoniz-ing the mind and relaxing the body to alleviate pain.His therapeutic strategy is fundamentally rooted in harmonizing the liver and spleen,supplemented by activating blood circulation,regulating Qi,promoting digestion,and resolving stagnation,and further supported by clearing lung heat,unblocking Fu-organs,and calming the heart to calm the mind.关键词
儿童功能性腹痛/核心药对/名医经验/数据挖掘/用药规律Key words
pediatric functional abdominal pain/core herb pairs/experience of renowned physicians/data mining/medication patterns分类
医药卫生引用本文复制引用
王瑶瑶,王壮,王永吉..基于数据挖掘王永吉教授辨治儿童非特异性功能性腹痛用药规律研究[J].山西中医药大学学报,2026,27(2):119-125,7.基金项目
吉林省科技发展计划项目(20220401062YY) （20220401062YY）
