| 标题 |
[高分] Predicting hospital length of stay after intensive care unit discharge with machine learning
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| 其它 | RATIONALE: Critically ill patients who are discharged to the ward are a vulnerable population who are at risk of prolonged hospital length of stay (LOS) due to factors such as delays in discharge planning. Because patients with longer LOS are at increased risk of morbidity and incur greater costs, efforts to decrease LOS are essential. No model to date has been derived to predict remaining LOS at the time of ICU discharge. |
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(2025-6-4)
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