| 张春辉,林婷婷,刘玥,葛亮,邵征洋.基于数据挖掘探讨邵征洋教授治疗小儿睡眠障碍用药规律[J].浙江中西医结合杂志,2022,32(8): |
| 基于数据挖掘探讨邵征洋教授治疗小儿睡眠障碍用药规律 |
| Medication Regularity of Professor Shao Zhengyang in Treating Pediatric Sleep Disturbances Based on Data Mining |
| 投稿时间：2022-02-11 修订日期：2022-03-19 |
| DOI： |
| 中文关键词: 数据挖掘 睡眠障碍 不寐 |
| 英文关键词:Data mining Sleep disturbances Sleep disorders Traditional Chinese medicine |
| 基金项目:浙江省名老中医专家传承工作室建设项目（GZS2020033） |
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| 中文摘要: |
| 摘要：目的：基于数据挖掘探讨邵征洋教授治疗小儿睡眠障碍用药规律及其学术思想，为临床诊疗小儿睡眠障碍提供参考。方法：收集2020年5月至2021年5月邵征洋教授在浙江省中西医结合医院门诊诊治小儿睡眠障碍首诊医案102例，对符合纳入标准病例的处方中的药物进行统计。运用Microsoft Excel 2020进行睡眠障碍症状频次统计，中药性味归经及频次统计，借助IBM SPSS modeler 18.0、SPSS Statistics 26.0分别进行关联规则分析及聚类分析。结果：共纳入医案102例，处方102张，涉及中药97味，其中以夜寐辗转、入睡困难、夜惊为主要临床表现，用药频次较高的药物依次是生甘草、钩藤、连翘、生地黄、淡竹叶、白茅根；药物性味较高的为平、温、寒和甘、苦味，其中多数药物入肺、肝、脾、胃、心经。在关联规则分析下,得到20对二药组合。同时聚类分析高频药物形成了3个聚类方。结论：邵征洋教授将临床小儿睡眠障碍主要归结于心火扰神、食积化热及阴阳不和，认为治疗小儿睡眠障碍需以“清心平肝”“消积除热”“调和阴阳”为主要治则。 |
| 英文摘要: |
| Abstract: Objective: Based on data mining, to explore the medication regularity and academic thoughts of Professor Shao Zhengyang in treating pediatric sleep disturbances, and to provide reference for the clinical treatment of pediatric sleep disturbances with Traditional Chinese medicine. Methods: The 102 cases of pediatric sleep disturbances from May 2020 to May 2021 were collected, which were diagnosed and treated by Professor Shao Zhengyang in the outpatient department of Zhejiang Integrated Traditional and Western Medicine Hospital. Analyse the herbs of formulas meet the inclusion criteria. Microsoft Excel 2020 was used for frequency statistics of clinical manifestations of sleep disturbances, the nature, flavor and channel tropism of the herbs. The Apriori algorithm of SPSS Modeler 18.0 was used for association rule analysis, and SPSS Statistics 26.0 was used for cluster analysis and factor analysis. Results: A total of 102 clinical cases and 102 formulas were included, involving 97 traditional Chinese herbs. The main clinical manifestations were toss and turn, difficulty in sleeping and night terrors. The high frequency herbs were glycyrrhiza, uncaria, forsythia, rehmannia glutinosa, bamboo leaves and imperatae rhizoma. The main nature of these herbs were plain, warm, cold. And the main flavour were sweet and bitter. Most of the herbs’ channel tropism were lung, liver, spleen, stomach and heart. Through the analysis of association rules, a total of 20 pairs of two herbs combinations were obtained. Three cluster formulas were formed by cluster analysis of high-frequency drugs. Conclusion: Professor Shao Zhengyang divided the Chinese medicine etiology of pediatric sleep disturbances into three main types, which are heart fire disturbing spirit, heat produced by food stagnation, and disharmony between yin and yang. And when treating pediatric sleep disturbances, Professor Shao always followed the following rules, which are clearing heat and calming liver, removing stagnation and eliminating heat, harmonizing yin and yang. |
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