most citedA comparison of regression models for static and dynamic prediction of a prognostic outcome during admission in electronic health care records

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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…