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Updated: Feb 4, 2026

Constructing and Visualizing Models using Mime-based Machine-learning Framework
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基于SHAP的可解释机器学习分析奖励相关的神经连接,以预测青春期前的易怒性

Faith M Wariri1, Johanna C Walker2, Jillian Lee Wiggins2,3

  • 1Department of Computer Science and Engineering, School of Computing, College of Engineering, University of Connecticut, Storrs, CT, USA.

Neuroimage. Reports
|February 2, 2026
PubMed
概括

青春期前的易怒与奖励处理期间大脑连接的改变有关. 可解释的深度学习模型确定了特定的神经模式,区分了儿童的持续高易怒和低易怒.

关键词:
大脑功能性MRI扫描深度学习是一种深度学习.可解释的人工智能烦躁易怒,容易生气.青春期之前的青春期.奖励加工是为了获得奖励.

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