通过无监督学习技术分析肯尼亚超市的人口杂货购买模式
Reinpeter Momanyi1, Steve Bicko Cygu1, Agnes Kiragga1,2
1African Population and Health Research Center, Nairobi, Kenya.
概括
在肯尼亚,超市购买的食品中有超过一半是工业加工的,老年男性是主要消费者. 这种趋势可能会增加老年人群中非传染性疾病 (NCD),需要公共卫生政策干预.
科学领域:
- 公共卫生 公共卫生
- 营养科学 营养科学
- 数据科学数据科学数据科学
背景情况:
- 肯尼亚和其他低收入和中等收入国家 (LMICs) 的非传染性疾病 (NCDs) 正在增加,通常与不良饮食有关.
- 在了解超市购买习惯与非洲非传染性疾病之间的关系方面存在知识差距.
- 超市交易数据提供了对公共卫生研究至关重要的人口统计见解.
研究的目的:
- 用人口统计数据分析肯尼亚的杂货购买模式.
- 确定消费者人口统计和健康与不健康食品消费之间的联系.
- 为预防NCD提供公共卫生政策的信息.
主要方法:
- 使用NOVA分类工具,数据挖掘和无监督机器学习.
- 应用了先验算法来建立人口统计和购买模式之间的关联规则.
- 分析了来自肯尼亚5个县的10个超市的3,934,122个独特交易 (2022-2023年).
主要成果:
- 所有购买的食品中有53%是由工业加工的产品组成的.
- 50岁以上的男性是这些加工食品的主要消费者.
- 发现年龄,性别,地理位置和食物购买习惯之间存在显著的关联.
结论:
- 目前的购买趋势表明,肯尼亚老年人患非传染性疾病的风险增加.
- 建议采取紧急政策干预措施,以减轻加工食品消费对公共健康的影响.
- 利用超市数据可以为有针对性的健康倡议提供有价值的见解.
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