Leveraging undecided cases in chart-reviewed phenotypes to enhance EHR-based association studies [0.03%]
利用图表审查的表型中的未决病例增强基于EHR的关联研究
Xinyao Jian,Dazheng Zhang,Zehao Yu et al.
Xinyao Jian et al.
Material and methods: We propose an augmented estimation method that combines the binary algorithm-derived phenotypes for the entire cohort with the trinary chart-reviewed phenotypes for a small, selected subset.
A cost-effective chart review sampling design to account for phenotyping error in electronic health records (EHR) data [0.03%]
一种经济有效的图表审查抽样设计，以解决电子健康记录（EHR）数据中的表型误差问题
Ziyan Yin,Jiayi Tong,Yong Chen et al.
Ziyan Yin et al.
Materials and methods: After applying outcome-dependent sampling, an augmented estimator can be constructed by optimally combining the chart-reviewed phenotypes from the selected patients with the error-prone EHR-derived phenotype.