通过使用机器学习模型,识别影响老年人家庭功能的人口和家庭特征
Mi Jung Lee1, Daejin Kim2, Jiang Bian3
1Department of Nutrition, Metabolism, and Rehabilitation Sciences, University of Texas Medical Branch at Galveston, Galveston, TX, USA.
Archives of gerontology and geriatrics
|August 11, 2023
概括
老年人的功能困难与行走障碍和家庭可访问性功能 (如抓) 有关. 家庭改造可以提高老年人的独立性和生活质量.
科学领域:
- 老年学是一门学科.
- 环境健康 环境健康
- 医疗信息学 医疗信息学
背景情况:
- 功能障碍显著影响老年人的独立性和生活质量.
- 了解导致这些困难的因素对于制定有针对性的干预措施至关重要.
研究的目的:
- 确定与老年人功能障碍相关的人口和住房特征.
- 确定分析这些关联的最有效的机器学习模型.
主要方法:
- 利用来自美国住房调查 (AHS) 调查问卷的数据,针对65岁及以上的个人.
- 采用并比较多个机器学习模型,选择性能最好的模型进行分析.
- 专注于12个功能性挑战项目,以评估家庭环境中的困难.
主要成果:
- 随机森林模型显示出强大的预测性能 (准确率:85.8%).
- 功能困难的关键预测因素包括行走障碍,使用移动辅助工具 (杖/步行器),浴室抓棒的存在,出门障碍和自我护理障碍.
- 这些因素比家庭主人的一般健康状况或年龄更有影响.
结论:
- 家庭改造和环境适应对于提高老年人的功能能力和独立性至关重要.
- 这些发现可以指导促进安全和可访问的生活环境的干预,改善老年人的生活质量.
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