机器学习方法用于预测粮食不安全对6个月至5岁儿童营养消费和营养不良的影响
Radwan Qasrawi1,2, Sabri Sgahir3, Maysaa Nemer4
1Department of Computer Sciences, Al Quds University, Jerusalem P.O. Box 20002, Palestine.
Children (Basel, Switzerland)
|July 27, 2024
概括
粮食不安全影响18.1%的幼儿,导致生长指标下降和营养不良. 维生素B1,K1,A和等关键营养素是干预的关键指标.
科学领域:
- 儿童营养学 儿童营养学
- 公共卫生 公共卫生
- 机器学习在健康中的应用
背景情况:
- 粮食不安全会对儿童的认知,身体和社会情感发展产生负面影响.
- 了解营养摄入量和营养不良对于儿童健康结果至关重要.
研究的目的:
- 研究粮食不安全对6个月至5岁儿童营养摄入量和营养不良的影响.
- 确定与粮食不安全和营养状况相关的社会人口统计和健康因素.
主要方法:
- 使用机器学习算法分析约旦河西岸819名儿童的数据.
- 研究了与粮食不安全有关的社会人口统计变量,健康因素和营养状况.
主要成果:
- 18.1%的儿童经历了粮食不安全,受家庭教育,收入,地区和年龄的影响.
- 食物不安全的儿童体重,身高和中高臂周长都减少了.
- 维生素B1,K1,A,,胆和碳水化合物被确定为不同类型营养不良的关键指标和营养优先级.
结论:
- 调查结果强调了面临粮食不安全的儿童生长问题的特定风险.
- 为制定有针对性的干预措施和为公共卫生政策提供信息提供数据.
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