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Updated: Jun 15, 2025

A Novel Experimental and Analytical Approach to the Multimodal Neural Decoding of Intent During Social Interaction in Freely-behaving Human Infants
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一个有条件的多标签模型,以改善预测罕见的结果:一个预测自闭症诊断的插图

Wei A Huang1, Matthew Engelhard1, Marika Coffman2

  • 1Department of Biostatistics and Bioinformatics, Duke University School of Medicine, Durham, NC, USA; AI Health, Duke University School of Medicine, Durham, North Carolina, USA.

Journal of biomedical informatics
|August 25, 2024
PubMed
概括

这项研究引入了一种新的条件多标签模型,使用电子健康记录来增强早期自闭症诊断预测. 该方法利用与其他神经发育状况的相关性,提高罕见事件的准确性.

关键词:
自闭症谱系障碍 自闭症谱系障碍临床数据 临床数据有条件建模的条件建模.多个标签分类的分类.神经网络的神经网络神经发育条件 神经发育条件

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