FUSION OF HETEROGENEOUS FEATURES FOR MAJOR DEPRESSION DISORDER CLASSIFICATION BASED ON QDM-RANKED GENETIC ALGORITHM

机译：基于QDM排序遗传算法的重大抑郁症分类异质特征融合

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Major depression disorder is a mental disorder which impacts various aspects of society. Fusion of heterogeneous features from different signal sources is a challenge task, especially with some flicking features different from persons or physiological conditions. The aim of this research is to develop a fusion model based on correlation, quartile discriminant measurement, and genetic algorithm. The result indicates heterogeneous features successfully fused for MDD classification. Finally, it provides 100% and 70% accuracy for training and testing datasets, respectively.

机译：重度抑郁症是一种精神障碍，会影响社会的各个方面。来自不同信号源的异质特征的融合是一项艰巨的任务，尤其是对于某些不同于人或生理状况的轻弹特征。这项研究的目的是开发一种基于相关性，四分位数判别测量和遗传算法的融合模型。结果表明异类特征已成功融合以进行MDD分类。最后，它为训练和测试数据集分别提供100％和70％的准确性。

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《Signal processing, pattern recognition, and applications ; Computer graphics and imaging》|2011年|p.102-107|共6页
会议地点 Innsbruck(AT);Innsbruck(AT);Innsbruck(AT);Innsbruck(AT)
作者
Tsu-Wang Shen; Fang-Chih Liu; William Shao-Tsu Chen;
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作者单位

Tzu Chi University Tzu Chi General Hospital 701, Sec. 3, Jhong-Yang Rd., Hualien, 97004, Taiwan;

Tzu Chi University Tzu Chi General Hospital 701, Sec. 3, Jhong-Yang Rd., Hualien, 97004, Taiwan;

Tzu Chi University Tzu Chi General Hospital 701, Sec. 3, Jhong-Yang Rd., Hualien, 97004, Taiwan;

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正文语种 eng
中图分类信息处理（信息加工）;
关键词
fusion; heterogeneous features; major depression disorder (MDD); quartile discriminant measurement QDM; genetic algorithm (GA);

机译：融合异类特征严重抑郁症（MDD）；四分位数判别测量QDM遗传算法（GA）;

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FUSION OF HETEROGENEOUS FEATURES FOR MAJOR DEPRESSION DISORDER CLASSIFICATION BASED ON QDM-RANKED GENETIC ALGORITHM

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