用于评估驾驶适宜性的视力筛查标准大数据分析
包含81,184名患者的匿名电子医疗记录,用于大数据分析视力筛查标准对驾驶适宜性评估的影响。

基本信息
资源简介
用于评估驾驶适宜性的视力筛查标准大数据分析
【数据集背景】
本数据集源站标题为《Big Data Analysis of Vision Screening Standards Used to Evaluate Fitness to Drive》。配套论文《Big Data Analysis of Vision Screening Standards Used to Evaluate Fitness to Drive》发表于 Current Eye Research(2022),DOI:10.1080/02713683.2022.2037653。项目资助方:This research received no specific grant from any funding agency in the public, commercial, or not-for-profit sectors.。源站首次发布:2022-03-22。
【数据内容】
源站原始描述:Visual acuity (VA) assessment is the most commonly performed vision screening method for drivers. The standards and repeat assessment intervals used, however, are arbitrary, lack an evidence base and are highly variable across different countries. This study utilizes the power of Big Data to provide evidence-based recommendations for standardized driver vision screening. Anonymized electronic medical record data were gathered from 40 Irish optometry practices comprising 81,184 unique patients. A…
【数据结构与技术规格】
文件数 3 个,合计 780.31 KB。Supplementary Figure 1.pdf:application/pdf,278.37 KB。Supplementary Figure 2.pdf:application/pdf,266.77 KB。Supplementary Table 1.pdf:application/pdf,235.17 KB。数据集 DOI:10.6084/m9.figshare.19398090.v1。
【主题与分类】
源站学科分类:Medicine、Cell Biology、Neuroscience、Biotechnology、Biological Sciences not elsewhere classified、Mathematical Sciences not elsewhere classified。主题标签:Big Data、driver vision standards、visual acuity、driving、vision、electronic medical records。
【适用方向】
结构化表格数据可直接用于统计建模、特征工程与队列分析。
【获取与许可】
源站页面:https://tandf.figshare.com/articles/dataset/Big_Data_Analysis_of_Vision_Screening_Standards_Used_to_Evaluate_Fitness_to_Drive/19398090
使用许可:CC BY 4.0(https://creativecommons.org/licenses/by/4.0/)。
规范引用:Big Data Analysis of Vision Screening Standards Used to Evaluate Fitness to Drive. Taylor & Francis. Moore, Michael; Butler, John S.; Flitcroft, Daniel I.; Loughman, James
【使用注意】
· 源站最后修改于 2023-06-02,引用时请注意版本时效。
下载信息
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使用方式
数据集获取(Figshare)
- 源站标题:Big Data Analysis of Vision Screening Standards Used to Evaluate Fitness to Drive
- DOI:10.6084/m9.figshare.19398090.v1
- 发布日期:2022-03-22
- 文件数:3 个
- 文件总体积:780.31 KB
- 源站页面:https://tandf.figshare.com/articles/dataset/Big_Data_Analysis_of_Vision_Screening_Standards_Used_to_Evaluate_Fitness_to_Drive/19398090
命令行下载
curl -L -o "Supplementary Figure 1.pdf" "https://ndownloader.figshare.com/files/34466424"
curl -L -o "Supplementary Figure 2.pdf" "https://ndownloader.figshare.com/files/34466427"
curl -L -o "Supplementary Table 1.pdf" "https://ndownloader.figshare.com/files/34466430"
文件清单
Supplementary Figure 1.pdf(278.37 KB)Supplementary Figure 2.pdf(266.77 KB)Supplementary Table 1.pdf(235.17 KB)
文件总体积 780.31 KB(源站 API 实测)。
数据说明
Visual acuity (VA) assessment is the most commonly performed vision screening method for drivers. The standards and repeat assessment intervals used, however, are arbitrary, lack an evidence base and are highly variable across different countries. This study utilizes the power of Big Data to provide evidence-based recommendations for standardized driver vision screening.
Anonymized electronic medical record data were gathered from 40 Irish optometry practices comprising 81,184 unique patients. A Kaplan–Meier Survival (KMS) analysis was used to determine the effect of increasing age and time since screening on the likelihood of passing the VA standard for driving. A logistic function was fit to assess the effect of varying the minimum VA standard required to drive on the screening pass rate within the population.
The likelihood of failing repeat screening increased as a function of time since initial screening for all age groups (χ2 =1447, df = 6, pVA-based screening should take place at regular intervals for all drivers, not just those over 70. Re-screening intervals should be based on age, with shorter intervals for older drivers due to the combined effect of age and time on the likelihood of passing the driving VA standards. The most commonly used standard of 0.3 logMAR results in a minimal number of potential drivers being excluded from driving.
许可
CC BY 4.0
引用
学术使用请引用 DOI 10.6084/m9.figshare.19398090.v1(source: https://tandf.figshare.com/articles/dataset/Big_Data_Analysis_of_Vision_Screening_Standards_Used_to_Evaluate_Fitness_to_Drive/19398090)。
数据缺失?
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