A predictive model for chinese children with developmental dyslexia—Based on a genetic algorithm optimized back-propagation neural network
文献类型:期刊论文
作者 | Wang, Runzhou1,2; Bi, Hong-Yan1,2 |
刊名 | Expert Systems with Applications |
出版日期 | 2022 |
卷号 | 187期号:1 |
通讯作者邮箱 | runzhouwang@163.com (R. Wang) ; bihy@psych.ac.cn (H.-Y. Bi) |
ISSN号 | 09574174 |
关键词 | Chinese children Developmental dyslexia Predictive model Back-propagation neural network Genetic algorithm |
DOI | 10.1016/j.eswa.2021.115949 |
产权排序 | 1 |
文献子类 | 实证研究 |
英文摘要 | The identification or the diagnosis of developmental dyslexia has long been a difficult issue, and traditional logistic regression predictive models have some defects. This study established a genetic algorithm optimized back-propagation neural network model to predict whether Chinese children have dyslexia based on data from 399 children (187 children with dyslexia and 212 typically developing children, 3rd-6th graders, aged 7-13 years). The model achieved an overall prediction accuracy of approximately 94%. Moreover, reading accuracy was the strongest factor in predicting Chinese dyslexic children, and phonological awareness, the accuracy rate of pseudocharacters, morphological awareness, reading fluency, rapid digit naming, and the reaction times of noncharacters also made important contributions to the prediction. In summary, the model we established in this study had an excellent predictive capability regarding Chinese children with/without developmental dyslexia. Furthermore, the genetic algorithm optimized back-propagation neural network model that substantially improves the prediction accuracy of Chinese dyslexia, has the potential to direct more targeted prevention and treatment strategies, and lay the foundation for the artificial intelligence expert diagnosis system for Chinese dyslexia. |
收录类别 | SCI ; EI |
语种 | 英语 |
源URL | [http://ir.psych.ac.cn/handle/311026/40097] |
专题 | 心理研究所_中国科学院行为科学重点实验室 |
作者单位 | 1.CAS Key Laboratory of Behavioral Science, Center for Brain Science and Learning Difficulties, Institute of Psychology, Chinese Academy of Sciences, Beijing; 100101, China 2.Department of Psychology, University of Chinese Academy of Sciences, Beijing; 100049, China |
推荐引用方式 GB/T 7714 | Wang, Runzhou,Bi, Hong-Yan. A predictive model for chinese children with developmental dyslexia—Based on a genetic algorithm optimized back-propagation neural network[J]. Expert Systems with Applications,2022,187(1). |
APA | Wang, Runzhou,&Bi, Hong-Yan.(2022).A predictive model for chinese children with developmental dyslexia—Based on a genetic algorithm optimized back-propagation neural network.Expert Systems with Applications,187(1). |
MLA | Wang, Runzhou,et al."A predictive model for chinese children with developmental dyslexia—Based on a genetic algorithm optimized back-propagation neural network".Expert Systems with Applications 187.1(2022). |
入库方式: OAI收割
来源:心理研究所
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