Optimization model research on efficacy in treatment of chronic urticaria by Chinese and Western Medicine based on a genetic algorithm
Optimization model research on efficacy in treatment of chronic urticaria by Chinese and Western Medicine based on a genetic algorithm
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DOI：
10.1016/s0254-6272(13)60101-6
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发表时间：
2013-02-01
影响因子：
2.6
通讯作者：
Yang, Xuming
中科院分区：
文献类型：
--
作者：
Yan, Macheng;Ye, Fuyuan;Yang, Xuming
目的：基于数据挖掘方法，探讨中西医治疗慢性荨麻疹（CU）的潜在规律和知识。方法：选取60例接受中西医治疗的慢性荨麻疹患者。采用灰色关联分析法判断疗效。利用关联算法来确定病程和治疗结果之间的相关性。应用遗传算法建立中西医治疗CU的优化模型。结果：中医健脾组治疗4周、8周后症状总分与治疗前总症状分高度相关。治疗持续时间对总症状评分影响最大。利用遗传算法建立了四次方程(y= - 1.6403 x10 - 6x(4)+0.00025576x(3)+0.0012819 x(2) - 1.024x+79.5879, x=106.9518, y=83.0036)。 结论:后期中医药治疗效果较好阶段，而 WM 在 早期阶段。病程持续时间对治疗效果有影响。如果治疗前平均总症状评分为83.0036，则中医或西医治疗可获得更好的疗效。 (C) 2013 年 JTCM。版权所有。
OBJECTIVE: To investigate the potential rules and knowledge of Traditional Chinese Medicine (TCM) and Western Medicine (WM) treatment on chronic urticaria (CU) based on data-mining methods.METHODS: Sixty patients with chronic urticaria, treated with TCM and WM, were selected. Gray correlation analyses were adopted to determine therapeutic efficacy. Association algorithms were utilized to ascertain the correlation between the disease course and treatment results. A genetic algorithm was applied to discover the optimization model in the TCM and WM treatment on CU.RESULTS: The total symptom scores after 4 weeks and 8 weeks of treatment in the TCM spleenstrengthening group correlated highly with the pretreatment total symptom score. The duration of treatment showed the greatest impact on the total symptom score. A quartic equation was established (y= - 1.6403 x10 - 6x(4)+0.00025576x(3)+0.0012819 x(2) - 1.024x+79.5879, and x=106.9518, y=83.0036) using the genetic algorithm.CONCLUSION: TCM treatment had a better effect in the later stage, whereas WM was better in the early stage. The duration of disease course had an impact on the effects of treatment. If the average total symptom score before treatment was 83.0036, TCM or WM treatment could achieve better efficacy. (C) 2013 JTCM. All rights reserved.