A comparison of regression models for static and dynamic prediction of a prognostic outcome during admission in electronic health care recordsShan Gao, Laure Wynants, Elena Albu et al.|Research Square|2024Cited by 6
Hospital-wide, dynamic, individualized prediction of central line-associated bloodstream infections-development and temporal evaluation of six prediction modelsElena Albu, Ben Van Calster, Shan Gao et al.|BMC Infectious Diseases|2025Cited by 4
Comparison of static and dynamic random forests models for EHR data in the presence of competing risks: predicting central line-associated bloodstream infectionElena Albu, Ben Van Calster, Frank Rademakers et al.|Research Square|2024Cited by 3
A comparison of modeling approaches for static and dynamic prediction of central line-associated bloodstream infections using electronic health records (part 2): random forest modelsElena Albu, Ben Van Calster, Shan Gao et al.|Diagnostic and Prognostic Research|2025Cited by 2
A comparison of modeling approaches for static and dynamic prediction of central-line bloodstream infections using electronic health records (part 1): regression modelsShan Gao, Laure Wynants, Elena Albu et al.|Diagnostic and Prognostic Research|2025Cited by 2