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特征选择和关联规则学习识别了埃塞俄比亚学童营养不良的风险因素

William A Russel1, Jim Perry2, Claire Bonzani3

  • 1Department of Biology, Colgate University, Hamilton, NY, United States.

Frontiers in epidemiology
|March 8, 2024
PubMed
概括

机器学习和后勤回归确定了老年是埃塞俄比亚学童营养不良的危险因素. 卫生和社会经济因素也成为重要预测因素,突出了先进分析方法的好处.

关键词:
协会规则的学习是学习的.机器学习是机器学习.营养不良 营养不良 营养不良风险因素分析 风险因素分析学校年龄的儿童.

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