Objective To analyze the prescription compatibility rules of traditional Chinese medicine (TCM) for treating infertility due to kidney deficiency based on big data.

Methods Using the Ancient and Modern Medical Cases Cloud Platform, medical cases of infertility due to kidney deficiency were retrieved and screened. Data mining was conducted using methods such as association analysis, cluster analysis, and complex network analysis to analyze the medication frequency, drug properties, core prescriptions, and other medication patterns of TCM in the treatment of infertility due to kidney deficiency.

Results A total of 284 effective medical cases and 804 prescriptions were screened, involving 348 herbs. High-frequency herbs included dodder seed, Chinese angelica, and prepared rehmannia root. The medicinal properties were mainly warm (33.69%), neutral (26.76%), and slightly cold (14.91%); the drug flavors mainly included sweet (56.46%), pungent (40.88%), and bitter (23.09%); the main meridian tropism was the liver meridian (72.81%), kidney meridian (50.80%), and spleen meridian (42.85%); the herb combination with the strongest association was "angelica-dodder seed"; cluster analysis identified five core herb groups; complex network analysis identified a core composition of 25 Chinese herbs; syndrome-drug correlation analysis identified 13 core Chinese herbs corresponding to kidney deficiency with blood stasis syndrome, kidney deficiency syndrome, kidney deficiency with liver depression syndrome, and kidney deficiency with accompanying syndromes.

Conclusion TCM treatment for infertility due to kidney deficiency mainly focuses on the kidney, liver, and spleen, emphasizing both reinforcing and reducing treatments, addressing both deficiency and excess, aiming to nourish both qi and blood and to promote mutual generation of essence and blood.

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