基于数据挖掘浅析《叶氏女科证治》调经用药规律

目的:归纳《叶氏女科证治》调经方药,分析用药规律,为中医临床治疗月经病提供思路。方法:收集《叶氏女科证治》调经条目调经相关方剂,使用Excel表格建立本文原始数据库后进行数据清洗规范整理,并对根据纳排标准最终选纳的163首方剂的药物使用频次、药物功效及药物性、味、归经等数据进行统计;选用数据分析软件SPSS Modeler 18.0及SPSS Statistics 26对纳入方剂方药进行聚类分析及关联结果分析。结果:所录入药物中温性药物最多,占到用药总频次的33.66%;药味以辛味药为首,占到药物总使用频次的29.94%;以归脾(20.18%)及肝经(18.62%)药物最多;根据网络关联图分析得知,《叶氏女科证治》调经方剂核心药物组合是由熟地黄、当归、白芍、川芎组成的妇科第一方——四物汤。结论:《叶氏女科证治》在月经病的治疗中以补益气血、肝脾同治为要。Objective: To summarize the traditional Chinese medicine prescriptions for regulating menstruation in Diagnosis and Treatment of Ye’s Women’s Health, analyze the medication patterns, and provide ideas for the clinical treatment of menstrual diseases in traditional Chinese medicine. Method: Collect the relevant formulas for regulating menstruation in the Diagnosis and Treatment of Ye’s Women’s Health, use Excel spreadsheets to establish the original database of this article, and clean and organize the data in a standardized manner. Analyze the frequency of drug use, drug efficacy, drug properties, taste, and meridian distribution of 163 selected formulas according to the inclusion and exclusion standards;Cluster analysis and correlation analysis were performed on the included formulas using data analysis software SPSS Modeler 18.0 and SPSS Statistics 26. The results showed that the most commonly recorded drugs were warm, accounting for 33.66% of the total frequency of medication;The taste of the medicine is mainly spicy, accounting for 29.94% of the total frequency of drug use;The most common drugs were Guipi (20.18%) and Ganjing (18.62%);According to the analysis of the network correlation diagram, the core drug combination of the Diagnosis and Treatment of Ye’s Women’s Health regulating meridian formula is the first gynecological formula—Siwu Tang, which is composed of Rehmannia glutinosa, Angelica sinensis, White Peony, and Chuanxiong. Conclusion: In the treatment of menstrual disorders, the Diagnosis and Treatment of Ye’s Women’s Health emphasizes nourishing qi and blood, and treating liver and spleen simultaneously.

基于数据分析比较《叶氏女科证治》《傅青主女科》学术特点

目的 基于数据分析比较《叶氏女科证治》《傅青主女科》学术特点,挖掘《叶氏女科证治》的学术价值。方法 构建《叶氏女科证治》《傅青主女科》的“病–症–证–方–药”数据库并进行数据分析,进而归纳对比两书的学术特点。结果 《叶氏女科证治》与《傅青主女科》比较具有以下6个特点:论述疾病,全而简略;详辨年龄,分时论治;处方周全,兼服丸散;用药轻灵,方加药引;煎制详细,服法各异;重视气血,调理脾胃。结论 通过数据分析展现了《叶氏女科证治》的学术价值,为研究其他中医著作提供思路和参考。

基于数据挖掘的《叶氏女科证治》辨证用药规律研究

目的分析《叶氏女科证治》用药规律,为相关研究及临床提供参考。方法收集《叶氏女科证治》调经、安胎、保产及求嗣相关内容,采用Excel2019建立症-证-药数据库,采用SPSS Modeler 18.0和SPSS Statistics 26软件进行频次分析、聚类分析和关联分析。结果《叶氏女科证治》涉及处方763首,药物305味,总用药频次5478次。最常用的药物为当归、白芍和川芎;高频药物网络链接数最高的为“当归-川芎”(链接数264);高频药物可聚为4类,其中当归与川芎距离最近;分析前项为单味药、2味药和3味药分别得到11、12、12条关联规则,高频关联规则有“山萸肉→熟地黄”、“黄芪-陈皮→白术”和“黄芪-白术-白芍→人参”等。证→药和症→药关联分析各得到10、11条关联规则。结论《叶氏女科证治》用药以补虚类药物为主,随证辅以健脾、行气、燥湿利水药物。

基于决策树的《叶氏女科证治》常用中药用药规律挖掘研究

目的通过数据挖掘中的决策树C5.0模型,探讨《叶氏女科证治》常用中药的用药规律。方法选择《叶氏女科证治》中调经、安胎、保产及求嗣中妇人相关内容,建立方药数据库,采用SPSS Modeler 18.0软件对高频中药使用C 5.0模型生成决策树及规则集。结果对频次≥200的当归、白芍、川芎、人参、白术、茯苓和熟地黄进行决策树分析,所得模型树深度均≤4,提示规则均具有普遍性;准确率较高,可控制在≥75%水平;模型受试者工作特征曲线下面积(AUC)值均在0.70~0.85,模型效果一般,但组成四物汤的当归、白芍、川芎和熟地黄,AUC值均≥0.8,模型效果相对较好。结论决策树模型可更清晰展示《叶氏女科证治》用药规律,有助于理解其用药思路,亦为其常用药提供数据支持。