使用机器学习方法来评估老年人的酒精滥用风险
Matthew Wickersham1,2, Nicholas Bartelo2, Scott Kulm2
1Weill-Cornell/Rockefeller/Sloan-Kettering Tri-Institutional MD-PhD Program, New York, New York, United States.
Research square
|October 27, 2023
概括
一个新的风险评估工具有助于识别50岁及以上的成年人滥用酒精. 这种工具使用电子健康记录,可以在这个不断增长的人口中检测出未被确诊的酒精问题.
科学领域:
- 老年学是一门学科.
- 公共卫生 公共卫生
- 数据科学数据科学数据科学
背景情况:
- 人口老龄化 (50+) 正在快速增长,但在这个人口群体中滥用酒精经常被忽视.
- 准确识别老年人滥用酒精对于及时干预和改善健康结果至关重要.
- 现有的电子健康记录 (EHR) 系统往往无法捕捉到老年人与酒精有关的问题的全部程度.
结论:
- 这项研究引入了一种新的数据驱动方法,以解决老年人滥用酒精的被忽视的问题.
- 风险评估工具具有很高的预测准确性,为电子健康记录集成提供了一个实际的解决方案.
- 通过更好地检测滥用酒精来优先考虑老年人的健康是必不可少的,并且可以通过先进的分析方法实现.
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