1 citations · 2 across the 2 of their papers we have counts for
3 papers
stat.AP2025
Comparing methods for handling missing data in electronic health records for dynamic risk prediction of central-line associated bloodstream infection
Shan Gao, Elena Albu, Pieter Stijnen +6
Electronic health records (EHR) often contain varying levels of missing data. This study compared different imputation strategies to identify the most suitable approach for predict…
cs.LG2024★ 1 cited
Comparison of static and dynamic random forests models for EHR data in the presence of competing risks: predicting central line-associated bloodstream infection
Elena Albu, Shan Gao, Pieter Stijnen +6
Prognostic outcomes related to hospital admissions typically do not suffer from censoring, and can be modeled either categorically or as time-to-event. Competing events are common…
stat.AP2024★ 1 cited
A comparison of regression models for static and dynamic prediction of a prognostic outcome during admission in electronic health care records
Shan Gao, Elena Albu, Hein Putter +7
Objective Hospitals register information in the electronic health records (EHR) continuously until discharge or death. As such, there is no censoring for in-hospital outcomes. We a…