基于数据挖掘技术分析黄桂忠治疗岭南地区颈性眩晕用药规律
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R249;R274.9

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Analysis of Medication Rules of HUANG Guizhong in Treating Cervical Vertigo in Lingnan Region Based on Data Mining Techniques
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    摘要:

    目的:运用数据挖掘技术,深入分析黄桂忠教授治疗岭南地区颈性眩晕(CV) 的用药规律。方 法:收集黄桂忠教授门诊辨治为CV的有效病案和处方,利用EXCEL软件对病案中出现的病证、病症及处方高 频中药进行频数、频率统计,运用SPSS Modeler18.0、SPSS Statistics26.0、Cytoscape3.9.1等软件对高频药物进 行药物关联、聚类分析。结果:纳入病案203个,经剔除病案中复诊患者的相同证型,得到有效证型100个, 涉及症状1 620个,处方203首,中药86味,使用频数排在前5位的药物分别为荷叶、升麻、苍术、白术、半 夏。病案证型以痰湿中阻证居多,症状以头晕、头昏、舌苔白腻为主,高频药物药性以温、平为主,药味以 辛、苦为主,主入脾、肝、胃、肺经。关联程度排在前5位的高频药对为荷叶-升麻,升麻-荷叶,苍术-荷叶, 半夏-升麻,白术-苍术;聚类分析可聚为5类。结论:黄教授治疗CV,结合岭南地区发病特点以化湿升清法 为主,灵活使用风药以升阳胜湿和宣通气机;对于CV兼有头痛失眠等症,用药清新,清利头目,可为临证提 供一定参考。

    Abstract:

    Abstract: Objective: To utilize data mining techniques to deeply analyze Professor HUANG Guizhong's medication rules in treating cervical vertigo (CV) in the Lingnan region. Methods: Effective medical records and prescriptions for CV treated by Professor HUANG Guizhong were collected. EXCEL software was used to perform frequency and percentage statistics on the diseases, symptoms, and high-frequency Chinese medicines appearing in the medical records. SPSS Modeler 18.0,SPSS Statistics 26.0,and Cytoscape 3.9.1 were used for drug association and cluster analysis of high-frequency drugs. Results: A total of 203 medical records were included. After excluding duplicate records of patients with the same syndrome type, 100 effective syndrome types were obtained, involving 1 620 symptoms,203 prescriptions,and 86 types of Chinese medicinals. The top five most frequently used medicine were Nelumbinis Folium, Cimicifugae Rhizoma, Atractylodis Rhizoma, Atractylodis Macrocephalae Rhizoma, and Pinelliae Rhizoma. The predominant syndrome type was phlegm-damp obstruction syndrome, with symptoms mainly including dizziness,vertigo,and greasy white tongue coating. The high-frequency medicines were primarily warm and neutral in nature,with pungent and bitter flavors,mainly entering the spleen,liver,stomach,and lung meridians. The top five drug pairs in terms of association degree were Nelumbinis Folium-Cimicifugae Rhizoma, Cimicifugae Rhizoma-Nelumbinis Folium, Atractylodis Rhizoma-Nelumbinis Folium, Pinelliae Rhizoma-Cimicifugae Rhizoma, and Atractylodis Macrocephalae Rhizoma-Atractylodis Rhizoma. Cluster analysis resulted in five categories. Conclusion: Professor HUANG's treatment of CV, considering the characteristics of the Lingnan region, primarily employs the method of removing dampness and upbearing the clear, flexibly using wind medicines to raise yang, eliminate dampness, and diffuse and regulate qi movement. For CV accompanied by headaches and insomnia, the medication is refreshing and clears the head and eyes,providing a certain reference for clinical practice.

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钟棋洪,黄桂忠.基于数据挖掘技术分析黄桂忠治疗岭南地区颈性眩晕用药规律[J].新中医,2025,57(9):17-23

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  • 在线发布日期: 2025-05-12
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