基于数据挖掘探讨张葆青教授治疗小儿抽动障碍用药规律研究

doi:10.3969/j.issn.1674-3865.2024.04.017

Abstract

Abstract: Objective To explore Professor Zhang Baoqing′s medication rules in treating tic disorders(TD) in children based on data mining.Methods From May 2022 to April 2023,the TCM prescriptions by Professor Zhang Baoqing in treating TD were collected.IBM SPSS Statistics 23.0 and IBM SPSS Modeler 18.0 were used to analyze the types,frequency,property and taste and the functioning meridians of the drugs used by Professor Zhang Baoqing.The drug groups in the prescription and core prescriptions were summarized.Results A total of 265 prescriptions for TD were collected,involving 110 TCM drugs.The efficacy was mainly for relieving,tonifying and clearing.The drug properties were mainly warm and mild followed by slightly cold and cold,and the taste was mainly bitter,pungent and sweet.The main channels were lung,liver,spleen and stomach.The common drug pairs were obtained by association rule analysis,such as Radix notopterygiae-Radix saposhnioviae,Radix gardenia-licorice,cicada-licorice,bupleurus-fried white peony,etc.The cluster analysis showed 6 potential drug groups.Conclusion Professor Zhang Baoqing pays equal attention to "internal wind" and "external wind" in the treatment of TD,and often treats TD from lung,liver and spleen.

Key words:

Tic disorder, Data mining, Medication rule, Child

ZHANG Haochen, ZHANG Baoqing, WANG Xinxin, PAN Yueli.

Discussion of Professor Zhang Baoqing′s medication rules in treating tic disorders in children based on data mining [J]. Chinese Pediatrics of Integrated Traditional and Western Medicine, 2024, 16(4): 349-354.

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Discussion of Professor Zhang Baoqing′s medication rules in treating tic disorders in children based on data mining

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