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不良的童年经历可以预测慢性健康状况吗? 开发创伤信息,可解释的机器学习模型

Hanin B Afzal1, Tasfia Jahangir2, Yiyang Mei3

  • 1Department of Mechanical and Industrial Engineering, University of Toronto, Toronto, ON, Canada.

Frontiers in public health
|February 9, 2024
PubMed
概括

儿童不良经历 (ACE) 与慢性疾病有关. 结合ACE的机器学习模型可以准确预测糖尿病和心脏病等疾病,识别有风险的个体进行早期干预.

关键词:
不良的童年经历 儿童不良的童年经历行为风险因素监测调查调查调查慢性疾病 慢性疾病健康行为健康行为.健康结果的健康结果.机器学习是机器学习.

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