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Updated: Feb 1, 2026

Quantifying Learning in Young Infants: Tracking Leg Actions During a Discovery-learning Task
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使用机器学习预测0-6个月龄的婴儿在资源较少的环境中脱轨发育

Faith Neema Benson1,2, Rachel Odhiambo3, Anthony K Ngugi4

  • 1Institute for Human Development, Aga Khan University, Nairobi, Kenya. faith.neema@aku.edu.

Pediatric research
|January 30, 2026
PubMed
概括

机器学习模型可以预测0-6个月龄的婴儿在低资源环境中的发育迟缓. 有限的心理社会刺激和较大的婴儿年龄是离轨发育的关键预测因素.

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