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重建跌倒风险评估矩阵使用R来支持预防跌倒的程序
Jethro Raphael M Suarez1,2, Kworweinski Lafontant2,3, Amber Blount2,4
1Department of Mechanical and Aerospace Engineering, University of Central Florida, Orlando, FL 32816, United States.
JAMIA open
|September 19, 2024
概括
这项研究使用R语言优化了落风险评估 (FRA) 图形,创建了一个数字工具,用于更好地评估老年人落风险和干预反.
科学领域:
- 老年学是一门学科.
- 医疗信息学 医疗信息学
- 计算科学 计算科学
背景情况:
- 跌倒风险评估 (FRA) 对老年人干预至关重要.
- 传统的FRA方法通常是基于纸张的,效率较低.
- 数字工具可以增强数据可视化和反,用于降落风险评估.
研究的目的:
- 为了优化跌倒风险评估 (FRA) 图形使用R语言.
- 开发一种用于对老年人跌倒风险评估的计算工具.
- 通过加强FRA数据可视化和分析来改进干预计划.
主要方法:
- 使用了RStudio和R语言包 (ggplot2,网格).
- 开发代码来重建FRA矩阵.
- 实现了用于数据可视化和分析的功能.
主要成果:
- 通过使用 R 代码成功重建了 FRA 矩阵.
- 使研究人员和临床医生能够将参与者数据绘制成 FRA 矩阵的图形.
- 展示了对FRA数据操纵的简化方法.
结论:
- R 代码提供了一个动态和适应性的 FRA 工具.
- 这种数字化方法改进了传统的纸笔方法.
- 对研究人员和老年人来说,提高了可读性和可用性.
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