Table 1 Patient population description.

From: Explainable artificial intelligence model to predict acute critical illness from electronic health records

Unique patients, no.

66,288

Unique admissions, no.

163,050

Age, median years

55.2

Gender, male, % of total admissions

45.9

Length of stays, median hours

153.6

Laboratory measurements, average per admission

39

Hospital mortality, % of total admissions

0.85

Sepsis present, % of total admissions

2.44

Acute Kidney Injury present, % of total admissions

0.75

Acute Lung Injury present, % of total admissions

1.68