Skip to main content

Table 2 Baseline characteristics between training set and test set

From: Development and validation of a novel blending machine learning model for hospital mortality prediction in ICU patients with Sepsis

  Train set Test set P-value
Data source eICU-CRD MIMIC-III  
Number of hospitals 198 1  
Number of patients 12,558 12,095  
Unit type, n (%) Med-Surg ICU 8255 (65.7) MICU 4938 (40.8)  
MICU 1479 (11.8) SICU 1839 (15.2)  
CCU 927 (7.4) CCU 1328 (11.0)  
CCU-CTICU 775 (6.2) CSRU 2459 (20.3)  
SICU 541 (4.3) TSICU 1531 (12.7)  
NICU 302 (2.4)    
CSICU 135 (1.0)    
CTICU 144 (1.1)    
SOFA score
(mean (SD))
5.3 (2.8) 5.5 (3.1) < 0.001
Length of ICU stay (hours, median [IQR]) 70.0 [43.0, 127.0] 74.0 [43.9, 155.8] < 0.001
Hospital mortality (%) 17.9 17.9 0.999
  1. Abbreviations: SD standard deviation, IQR interquartile range, CCU cardiac care unit, CSICU cardiac surgical intensive care unit, CSRU cardiac surgery recovery unit, CTICU cardiothoracic intensive care unit, MICU medical intensive care unit, NICU neuro-intensive care unit, SICU surgical intensive care unit, TSICU trauma surgical intensive care unit