| 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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Criminology34
嘿嘿
浮浮世世
tuanheqi
浮游
持卿
大龙哥886
小二
寻道图强
yyds
优美紫槐
MchemG
无极微光
裂冰
null
精明浩然
Zongxin
BowieHuang
sxb10101
nn
Mic
YifanWang
COSMAO
lily
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