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Updated: Jan 15, 2026

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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A Novel Experimental and Analytical Approach to the Multimodal Neural Decoding of Intent During Social Interaction in Freely-behaving Human Infants

Published on: October 4, 2015

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使用纵向ABCD研究的儿童行为问题的机器学习预测.

Kathryn Berluti1, Paige Amormino1, Alexandra Potter2

  • 1Department of Psychology, Georgetown University, Washington, DC, USA.

Journal of child psychology and psychiatry, and allied disciplines
|October 12, 2025
PubMed
概括

机器学习模型使用父母和孩子的自我报告准确地预测有行为问题风险的儿童. 这有助于早期干预,以获得更好的长期结果.

关键词:
在ABCD研究中,研究人员研究了ABCD.行为障碍 行为障碍.行为问题 行为问题机器学习是机器学习.

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