Objective: To investigate the medication rule of Xin’an medical practitioner Wang Renzhi in the treatment of irregular menstruation using data mining techniques. Methods: A total of 135 effective prescriptions for the treatment of irregular menstruation were selected from Medical Records of Wang Renzhi

and Office 2010

IBM SPSS Modeler 18.0

and SPSS Statistics 22.0 were used to establish databases and perform a data mining analysis of medication frequency

drug combination

and medication category. Results: These 135 prescriptions involved 207 traditional Chinese medicines

and the top three categories were blood-replenishing medicines

blood circulation-activating and menstruation-regulating medicines

and Yang-tonifying medicines. The medication frequency reached1769 times

and 27 medicines had a frequency of ≥18 times. A total of 32 binomial medicine pairs had a frequency of ≥26 times. The hierarchical cluster analysis obtained 9 combinations of the commonly used medicines including Astragalus membranaceus

Radix Glycyrrhizae

cockscomb

cuttlebone

trogopterus dung

and Rhizoma Cyperi

and the factor analysis obtained 20 common factors including red halloysite

Rubia cordifolia

Sanguisorba officinalis

carbonized prepared Radix Rehmanniae

Achyranthis Bidentatae Radix

Lycopus lucidus

Herba Leonuri

Selaginella tamariscina

Salvia miltiorrhiza

Platycladi seed

and prepared Radix Rehmanniae. Conclusion: In the syndrome differentiation-based treatment of irregular menstruation

Wang Renzhi emphasizes the treatment of the liver

the kidney

Qi

and blood and applies the medicines for soothing the liver

regulating Qi

and balancing Yin and Yang.The blood-replenishing

stasis-resolving

and Yang-tonifying medicines are often used for treatment.