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Updated: Mar 14, 2026

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可解释的机器学习用于识别青少年肥胖风险和识别关键决定因素

Liepeng Huang1, Jie Chen2

  • 1Faculty of Education, Shaanxi Normal University, Xi'an, Shaanxi, China.

Frontiers in public health
|March 13, 2026
PubMed
概括

可解释机器学习确定了青少年肥胖的主要因素,如久坐时间和学术工作量. 干预措施应侧重于减少久坐行为和改善身体形象,以有效预防肥胖.

关键词:
青少年 青少年 青少年可以解释的机器学习.肥胖 肥胖 肥胖 肥胖 肥胖 肥胖 肥胖 肥胖相对重要性相对重要.久坐不动的时间.

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