中外医学研究2026，Vol.24Issue(10)：34-40,7.DOI:10.14033/j.cnki.cfmr.2026.10.008
基于Python开源数据科学生态的中医肺胀病中药处方探析与膏方调理策略探索
Exploration of Traditional Chinese Medicine Prescriptions and Herbal Paste Conditioning Strategies for Lung Distension Disease Based on Python's Open-Source Data Science Ecosystem
摘要
Abstract
This study leverages Python's open-source data science ecosystem to mine the medication patterns of Traditional Chinese Medicine(TCM)prescriptions for lung distension disease,analyze its core syndromes,and accordingly explore herbal paste conditioning strategies for the stable phase,so as to address the clinical challenge of high readmission rates.Method:A total of 415 TCM prescriptions diagnosed and prescribed Anxi Hospital of Traditional Chinese Medicine from January 2022,to December,2024 were collected and organized.Python libraries such as Pandas and NumPy were used for data cleaning and preprocessing.The Apriori algorithm was applied for association rule analysis to mine high-frequency herb combinations,and cluster analysis was employed to group the prescriptions and statistically characterize herb usage under different syndromes.Result:The study involved 173 distinct Chinese herbs.High-frequency herbs included Cornus officinalis(67.23%),Poria cocos(56.39%),raw Glycyrrhiza uralensis(54.22%),and Aquilaria sinensis(49.64%).Syndrome distribution was primarily lung-kidney qi deficiency syndrome(28.19%),phlegm-dampness obstructing the lung syndrome(18.07%),and lung-kidney deficiency syndrome(17.83%).Association rule analysis revealed the core herb combination"Cornus officinalis-stir-fried Dioscorea opposita-Rehmannia glutinosa-Poria cocos"(support 37.11%),which derives from the classic formulas Liuwei Dihuang Wan and Sijunzi Tang,embodying the core treatment principle of"tonifying the kidney and spleen,benefiting the lung and resolving phlegm".Cluster analysis further validated the classification of prescription clusters centered on tonifying kidney and spleen,while also addressing warming and resolving cold phlegm and clearing heat and resolving phlegm.Conclusion:This data-driven study reveals the medication pattern for lung distension disease,which is fundamentally based on tonifying the kidney and spleen,with the secondary aim of resolving phlegm and dampness.Based on this pattern,we innovatively propose constructing a TCM herbal paste formulation based on the core herb combination for the long-term conditioning of lung distension disease during its stable phase.This strategy aims to facilitate a paradigm shift from"passive inpatient treatment"to"active outpatient management,"providing evidence-based justification and a feasible pathway for reducing disease recurrence rates and optimizing TCM chronic disease management practices.关键词
Python/数据挖掘/肺胀病/用药规律/膏方Key words
Python/Data mining/Lung distension disease/Medication pattern/Herbal paste引用本文复制引用
谢梅萍,许晓斌,苏忆明,陈泽宇,陈东海..基于Python开源数据科学生态的中医肺胀病中药处方探析与膏方调理策略探索[J].中外医学研究,2026,24(10):34-40,7.基金项目
泉州市中医临床重点专科建设项目(泉卫中医函[2024]269号) （泉卫中医函[2024]269号）
