以数据驱动方式研究并比较治疗月经不调、痛经、闭经、崩漏4种常见月经病中药方剂的配伍规律，以期为相关中药配伍机制研究和复方中药开发提供支持。收集《中医方剂大辞典》中治疗月经病的方剂1 761首，采用Apriori关联规则算法，以支持度、置信度、提升度为指标对方剂进行数据挖掘，对比分析4种月经病方剂中高频药物、配伍规律及核心药物组合。当归、川芎、川芎-当归、白芍-当归、白芍-川芎-当归等药味及药味组合在4种月经病中使用频率均很高，黄芪在崩漏方中使用频率较高，桃仁、大黄、桃仁-当归在闭经方中使用频率较高，香附、香附-当归在痛经方中使用频率较高。治疗月经不调方剂中提升度显著的潜在关联规则为水蛭→虻虫、乳香→没药等，而闭经方剂中则为苏木→红花、虻虫→水蛭等。以数据驱动方式对《中医方剂大辞典》中治疗月经病的方剂进行对比研究，能有效地反映4种月经病用药的异同点，发现潜在的中药配伍规律，并能明确核心中药。

To study and compare the composition regularities of Chinese materia medica (CMM) formulas for four kinds of emmeniopathies, including irregular menstruation, dysmenorrhea, amenorrhea, and uterine bleeding, and contribute to the interpretation and prescription of composition mechanism for the optimization of CMM formulas by using a data-driven approach. A total of 1 761 CMM formulas from the Dictionary of Chinese Medicine Prescription for emmeniopathies were analyzed by the data mining method of Apriori algorithm with the indicators of support, confidence, and lift. The frequencies, composition regularities, and pivotal compositions of CMM were analyzed comparatively. Angelicae Sinensis Radix (ASR), Chuanxiong Rhizoma (CR), CR-ASR, Paeoniae Radix Alba (PRA)-ASR, and PRA-CR-ASR were higher commonly used CMM and CMM combinations for all the four emmeniopathies. Astragali Radix was the highest frequently used CMM for uterine bleeding. Persicae Semen (PS), Rhei Radix et Rhizoma, and PS-ASR were the frequently used CMM and CMM combinations for amenorrhea. Cyperi Rhizoma and Cyperi Rhizoma-ASR were the frequently used CMM and CMM combinations for dysmenorrhea. The latent association rules with significant lift included Hirudo→Tabanus and Olibanum→Myrrha for irregular menstruation, and Sappan Lignum→Carthami Flos and Tabanus→Hirudo for amenorrhea. Based on the CMM formulas from the Dictionary of Chinese Medicine Prescription, the data-driven approach revealed the similarities and differences in CMM compositions for the four emmeniopathies and uncovered the latent composition regularities and the pivotal CMM effectively.

国家自然科学基金资助项目（81703462）；浙江省重中之重一级学科——中药学学科科研开放基金（Yao2016008）