基于数据挖掘的高血压病中医药物与证型匹配规律研究

Research on the Pattern of Traditional Chinese Medicine Prescriptions and Syndromes Correspondence in Hypertension Based on Data Mining

摘要: 目的：本研究利用关联规则探索中医治疗高血压的药证对应规律，为临床治疗提供科学依据。方法：采用Python语言，结合词频分析和Apriori算法，以“高血压”、“中医”、“治疗”等关键词检索并分析数据，识别中医证候与中药的对应关系，设置支持度和置信度以确保结果可靠性。结果：天麻、钩藤、茯苓和牛膝为高频使用药物，主要证型包括肝阳上亢型、肝肾阴虚型、痰湿壅盛型和阴阳两虚型。天麻、钩藤、石决明的组合在平肝潜阳方面协同效应显著。结论：本研究揭示了中医治疗高血压的核心用药及药证配伍模式，为临床实践提供科学指导。

Abstract: Objective: This study utilizes association rules to explore the pattern of prescription and syndrome correspondence in Traditional Chinese Medicine (TCM) for hypertension, aiming to provide scientific guidance for clinical practice. Method: Using Python, combined with word frequency analysis and the Apriori algorithm, keywords such as “hypertension”, “TCM”, and “treatment” were used to search and analyze data, identifying correlations between TCM syndromes and herbal medicines. Support and confidence levels were set to ensure result reliability. Results: Gastrodia, Uncaria, Poria, and Achyranthes were identified as high-frequency herbs. Main syndromes included liver yang hyperactivity, liver and kidney yin deficiency, phlegm-dampness accumulation, and yin-yang deficiency. The combination of Gastrodia, Uncaria, and Abalone Shell demonstrated a significant synergistic effect in calming liver yang. Conclusion: This study reveals core herbs and prescription-syndrome patterns in TCM treatment for hypertension, providing scientific support for clinical practice.