药学研究2025，Vol.44Issue(8)：743-749,818,8.DOI:10.13506/j.cnki.jpr.2025.08.003
基于数据分析中药单方用药规律及新药组挖掘
Based on the data analysis of single prescription of traditional Chinese medicine regularity and new drug combination mining
摘要
Abstract
Objective To carry out the concept of"simplifying drug use",explore the drug use rules of single flavor prescriptions in the Dictionary of Traditional Chinese Medicine Prescriptions through data mining,explore its medication rules and provide a basis for the development of new drugs.Methods Based on the single-flavor prescriptions recorded in the Dictionary of Traditional Chinese Medicine Prescriptions,frequency statistics,association rules(Apriori algorithm),and cluster analysis(IBM SPSS Modeler 18.0,IBM SPSS Statistics,Cytoscape 3.9.1)were used to identify high-frequency drugs,core symptoms,and potential drug combinations.Results A total of 2 903 single-flavor prescriptions were included,involving 736 Chinese medicines.Alum and Coptis are used most frequently,and among the high-frequency drugs,heat-clearing drugs are the most common;Covering 614 conditions,the core conditions are acne,bloody stool,ulce;Twelve associated drug groups and two new prescriptions were found.Conclusion Single-component medication highlights the characteristics of"simplicity and efficiency",and has more advantages for liver diseases.There is great potential for the development of single-component preparations and new drug research and development.The core drug also has the potential to reduce toxicity and enhance efficacy.This study provides data support for the modernization development of single-component preparations and the innovation of new traditional Chinese medicine drugs,and has important guiding significance for clinical application.关键词
中药单方/《中医方剂大辞典》/数据挖掘/用药规律/Apriori算法/中药新药Key words
Single prescription of traditional Chinese medicine/Dictionary of Traditional Chinese Medicine Prescriptions/Data mining/Prescription regularity/Apriori algorithm/Innovative drug of traditional Chinese medicine分类
医药卫生引用本文复制引用
刘欣雅,韩相坤,朴慧莲,李勇成,王昱智,张雪..基于数据分析中药单方用药规律及新药组挖掘[J].药学研究,2025,44(8):743-749,818,8.基金项目
国家自然科学基金项目(No.82374521) （No.82374521）
辽宁省科学事业公益研究基金项目(No.2024JH4/10600027) （No.2024JH4/10600027）
