Data mining-based detection of acupuncture treatment on juvenile myopia
Data mining-based detection of acupuncture treatment on juvenile myopia
复制标题
基于数据挖掘的针灸治疗青少年近视的检测
DOI：
10.1016/s0254-6272(13)60040-0
复制
发表时间：
2012-09-15
影响因子：
2.6
通讯作者：
Zhu, Ying
中科院分区：
文献类型：
--
作者：
Yang, Xuming;Xu, Lingyu;Zhu, Ying
目的：我们将数据挖掘技术应用于针灸治疗青少年近视的研究，旨在发现数据中的隐藏模式。方法：选取50例青少年近视患者进行针灸治疗，采用数据挖掘方法分析治疗效果及行为变量的影响。采用聚类分析将针灸治疗前近视患者分为两类。采用人工神经网络BP算法分析不同因素对屈光度变化的影响。采用关联算法分析针刺主观体验与平均屈光度的相关因素。结果：两种分类结果与对眼圈的认识完全一致。每天上网和看电视的时间是影响视力的主要因素。针刺感受与治疗效果有很强的相关性。良好或以上的针灸经验评分可以减缓青少年近视的发展。结论：采用数据挖掘的方法收集青少年近视患者的数据，可以从研究证据中提取隐藏的潜在规律和知识。为提高临床针灸治疗效果提供决策支持。(c) 2012 jtcm。版权所有。
OBJECTIVE: We applied data mining techniques to the study of acupuncture as a treatment for juvenile myopia, with the aim of identifying hidden patterns in the data.METHODS: Fifty patients with juvenile myopia were selected and treated with acupuncture, and data mining was used to analyze the effects of treatment and the influence of behavioral variables. Clustering analysis was used to divide myopia patients into two classifications before acupuncture treatment. Artificial neural network BP algorithm was adopted to analyze the roles of different factors in changes in diopters. An association algorithm was used to analyze factors associated with the subjective experience of acupuncture and average diopter.RESULTS: The two classification results were fully consistent with the understandings of the ophthalmic circles. The duration of using the Internet and watching TV every day was the main factor that affected vision. Acupuncture feelings and therapeutic effect have a strong correlativity. A good or above experience's score of acupuncture could slow the progression of juvenile myopia.CONCLUSION: Collecting data from patients with juvenile myopia by using data mining can extract hidden potential rules and knowledge from the research evidence. The decision support can be provided to improve the doctor's clinical acupuncture treatment effects. (C) 2012 JTCM. All rights reserved.