A Discussion on the Principles of Medicinal Formulation for the Treatment of Pediatric Diarrhea in Traditional Chinese Medicine Based on the *Chinese Medical Canon*

Corresponding author: wangyongji, wangyjcczyy@163.com

DOI: 10.12201/bmr.202605.00090

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  Abstract: Objective: To comprehensively explore and summarize the patterns of formula and herbal usage for pediatric diarrhea in classical medical texts, this study conducted data mining on the formulas for treating pediatric diarrhea in the *Chinese Medical Canon* (5th Edition). Methods: A unified database of formulas and herbs was established, and data mining was performed using various methods, including frequency statistics, association rule analysis, complex network visualization, and cluster analysis. Results: A total of 396 standardized formulas were recorded, involving 320 types of Chinese medicinal herbs and 3,226 instances of drug usage. High-frequency herbs included licorice, Atractylodes macrocephala, Poria cocos, and ginseng; herbs with warm, cold, or neutral natures predominated, while those with pungent, sweet, or bitter tastes were more common, and their meridian affinities were concentrated in the Spleen and Stomach meridians. Association rule analysis identified core herb pairs with high association scores, such as licorice-Chenpi-ginseng. Complex network analysis demonstrated that the core herbs—ginseng, licorice, Atractylodes macrocephala, and Poria cocos—were closely related to herbs that regulate qi and resolve dampness. Conclusion: The patterns of formulae for treating pediatric diarrhea in the classical text *The Chinese Medical Canon* fully reflect the pathogenesis of “spleen deficiency with excessive dampness.” The fundamental therapeutic approach involves strengthening the spleen and tonifying qi, as well as transforming dampness and regulating qi. This study provides classical textual and data support for the development of modern herbal formulae and pharmaceutical preparations.

  Key words: The Chinese Medical Canon; Pediatric Diarrhea; Data Mining; Characteristics of Drug Use; Formula Composition Patterns

  Submit time: 25 May 2026

  Copyright: The copyright holder for this preprint is the author/funder, who has granted biomedRxiv a license to display the preprint in perpetuity.
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  1	2026-04-21	10.12201/bmr.202605.00090V1	Download

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