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Independent predictors of ICU mortality.
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创建时间：
2018-06-01
相关数据集
Sensitivity and Specificity of scores for the identification of patients at low risk of ICU admission (predicted probability ICU admission <5%).
*MEDS, STSS, PMEWS, CURB65, NHAP and CAP did not classify any patient as having a <5% risk of death.
NIAID Data Ecosystem60
Table_1_A Novel Composite Indicator of Predicting Mortality Risk for Heart Failure Patients With Diabetes Admitted to Intensive Care Unit Based on Machine Learning.docx
BackgroundPatients with heart failure (HF) with diabetes may face a poorer prognosis and higher mortality than patients with either disease alone, especially for those in intensive care unit. So far,
NIAID Data Ecosystem40
Characteristics for the cohort of 6,436 patients who died within 30 days from their ICU admission between 2002 and 2011 and trend through the 10 years for all the covariates.
For gender, we show the percentage of male for each year. For vasopressors and inotropes (Yes/No), and for endotracheal ventilation (Yes/No) we provide percentage of patients who received the treatmen
Figshare2019-02-14 更新30
Subgroup analyses for the predictive value of pulmonary embolism for ICU admission.
Subgroup analyses for the predictive value of pulmonary embolism for ICU admission.
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Logistic regression analysis of the probability of dying in a hospital.
Logistic regression analysis of the probability of dying in a hospital.
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