Mean, SD, inter-item correlation, Cronbach’s α, and percentage in lowest (floor) and highest (ceiling) score for the four RSQ subscales; Results for both general practitioners and cancer patients.

NIAID Data Ecosystem10

Patient characteristics for patients included in models predicting death and readmission after ICU discharge.

ICU出院后死亡预测

再入院风险预测

aP-value calculated using Pearson Chi-square. bP-value calculated using student t-test. cP-value calculated using two-sample Wilcoxon rank-sum (Mann-Whitney) test. APACHE = Acute Physiology and Chro

NIAID Data Ecosystem20

Characteristics of COVID-19 patients predicting hospital readmission after ED discharge

COVID-19

再入院风险预测

Objective: We aimed at identifying baseline predictive factors for emergency department (ED) readmission, with hospitalization/death, in COVID-19 patients previously discharged from the ED. We also de

NIAID Data Ecosystem10

Observed vs. predicted 30-day unplanned readmissions.

资源简介：

相关数据集