AimThe coded prevalence of complex mental health difficulties in electronic health records, such as personality disorder and dysthymia,is much lower than expected from population surveys. We aimed to

Figshare2025-05-08 更新40

Tree-Guided Rare Feature Selection and Logic Aggregation with Electronic Health Records Data

电子健康记录特征工程

自杀风险预测建模

Statistical learning with a large number of rare binary features is commonly encountered in analyzing electronic health records (EHR) data, especially in the modeling of disease onset with prior medic

Taylor & Francis Group2024-04-12 更新20

Additional file 2 of A novel model to label delirium in an intensive care unit from clinician actions

ICU谵妄标记

临床数据预处理

Additional file 2. Study R Markdown file with data pre-processing and variable selection.

NIAID Data Ecosystem50

Patient characteristics and univariate comparison between treatment groups.

临床数据预处理

治疗组间均衡性检验

Patient characteristics and univariate comparison between treatment groups.

NIAID Data Ecosystem30