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基于信念价值的多分类器融合用于诊断自闭症谱系障碍

Feng Zhao1, Shixin Ye1, Mingli Zhang1

  • 1School of Computer Science and Technology, Shandong Technology and Business University, Yantai, China.

Frontiers in human neuroscience
|December 11, 2023
PubMed
概括

这项研究引入了一种新的信念-价值融合框架,用于自闭症谱系障碍 (ASD) 诊断. 该方法通过有效地结合分类器输出来提高诊断准确性,改进了现有的多分类器融合技术.

关键词:
自闭症谱系障碍 (ASD)信念-价值的信念-价值.功能选择 功能选择多种分类器的核聚变.静止状态功能磁共振成像 (rs-fMRI) 进行.

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