Hospital Length of Stay Prediction for Planned Admissions Using Observational Medical Outcomes Partnership Common Data Model: Retrospective Study (Preprint)
Haeun Lee,
Seok Kim,
Hui-Woun Moon
et al.
Abstract:BACKGROUND
Accurate prediction of hospital length of stay (LoS) is essential for efficient resource management. However, conventional LoS prediction models with limited covariates and non-standardized data tend to experience limited reproducibility and generalizability when applied to the general population.
OBJECTIVE
In this study, we aimed to develop and validate machine learning (ML)-based L… Show more
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