National Changhua University of Education Institutional Repository : Item 987654321/12693
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题名: Prediction of Allergy Symptoms among Children in Taiwan Using Data Mining
作者: Ng, Hui-Fuang;Fathoni Halim;Chen, I-Chi
贡献者: 人力資源管理所
关键词: Allergy Symptoms;Data Mining;Children
日期: 2009-10
上传时间: 2012-07-27T02:33:45Z
摘要: Allergic diseases have increased in children in many countries with modern living conditions. This study used data mining techniques to construct predictive models for prediction of allergy symptom among children in Taiwan from survey data. Among three predictive models, the decision tree model gives the best overall result, with a classification accuracy of 70.3%, followed by neural networks (69.6%) and support vector machine (66.4%). Results indicate that children exposed to environment that contains allergy inducing agents are key factors that trigger allergy symptoms. Family factors, especially heredity factors, are also important factors of children allergy.
關聯: Joint Conference on Medical Informatics in Taiwan, Taipei, Taiwan, 2009年10月3-4日
显示于类别:[人力資源管理研究所] 會議論文

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