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| 基于数据驱动模型的曲凡治疗多囊卵巢综合征隐性结构与配伍加减规律研究 |
| Study on the Latent Structure and Rules of Compatibility and Modification in Fan Qu''s Treatment of Polycystic Ovary Syndrome Based on Data-Driven Models |
| 投稿时间：2026-06-08 修订日期：2026-06-08 |
| DOI： |
| 中文关键词: 数据挖掘 多囊卵巢综合征 机器学习 用药规律 隐性结构 |
| 英文关键词: data mining polycystic ovary syndrome machine learning medication rules latent structure |
| 基金项目:国家自然科学4项(82575119；82274564；82074476；81874480)；浙江省自然科学基金重点项目2项(LZ26H270001；LZ21H270001)。 |
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| 中文摘要: |
| 目的：挖掘曲凡辨治多囊卵巢综合征（polycystic ovary syndrome，PCOS）的隐性核心方根及配伍加减规律。
方法：回顾性收集曲凡门诊治疗PCOS的中药处方。采用非负矩阵分解（Non-negative Matrix Factorization，NMF）提取隐性核心方根，联合Louvain复杂网络社区发现算法划分功能模块进行交叉验证。
结果：双算法提取出4个隐性核心方根和4个功能模块，均对应补肾健脾、活血化瘀、凉血止血、疏肝解郁四大功效。映射网络进一步挖掘出以太子参、覆盆子等为核心的共用底方。
结论：本研究揭示曲凡治疗PCOS以补肾健脾为底方，兼顾活血、止血、疏肝为靶向加减的诊疗思路。双机器学习算法联合应用为中医经验传承提供了新的方法学范式。 |
| 英文摘要: |
| Objective: To explore the latent core formulas and the rules of compatibility and modification in Professor Fan Qu''s treatment of polycystic ovary syndrome (PCOS) based on data-driven models.
Methods: A retrospective collection was conducted on the traditional Chinese medicine (TCM) prescriptions for PCOS treated by Professor Fan Qu. Non-negative Matrix Factorization (NMF) was employed to extract the latent core formulas, combined with the Louvain complex network community detection algorithm to partition functional modules of targeted medication for cross-validation.
Results: The NMF extracted 4 latent core formulas, and the Louvain algorithm identified 4 functional modules, both of which consistently corresponded to four major therapeutic effects: tonifying the kidney and strengthening the spleen, invigorating blood and resolving stasis, cooling blood and stopping bleeding, and soothing the liver and relieving depression. The mapping network further uncovered a cross-module foundational formula centered on Taizishen (Radix Pseudostellariae) and Fupenzi (Fructus Rubi).
Conclusion: This study reveals Professor Fan Qu''s clinical strategy for treating PCOS, characterized by a foundational approach of tonifying the kidney and strengthening the spleen, combined with flexible modifications aimed at invigorating blood, stopping bleeding, and soothing the liver. The integrative application of two machine learning algorithms provides a novel methodological framework for inheriting TCM clinical experience. |
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