Modern Literature Research on Children Sweat Syndrome based on TF-IDF

Abstract

Objective: To explore the characteristics of intelligent syndrome diagnosis and intelligent syndrome differentiation of pediatric sweat syndrome by retrospectively studying the traditional Chinese medicine (TCM)-based diagnosis and rule of drug use on pediatric sweat syndrome in China Academic Journal Full-text Database (CNKI), Wanfang Database (WF) and VIP database. Methods: Modern literature on pediatric sweat syndrome was collected with Endnote software, and the collected data were input into The Microsoft Excel 2010 table. TF-IDF relative entropy quantitative analysis was used to extract the intelligent diagnosis and intelligent medication rule of pediatric sweat syndrome in modern literature. Results: TF-IDF was used to obtain the syndrome’s type-symptom fuzzy matrix and syndrome’s type-TCM fuzzy matrix of qi-yin deficiency and qi-deficiency. Conclusion: The intelligent syndrome diagnosis and intelligent syndrome differentiation law of modern data mining in the treatment of children sweat syndrome accord with the basic theory of TCM, and can provide clinical reference to a certain extent.