Table 2 Variables selected for machine learning modeling from the clinical datasets

Sex^a

0–1

Potassium (mmol/L)

3-5.7

Height (m)

0.64–1.30

Sodium (mmol/L)

134–146

Weight (kg)

7–35

CK (U/L)

13.83-276.87

Lung blood^a

0–1

CK-MB (U/L)

8–43

Precardiac space^a

0–1

PT (S)

9.8–13.7

CTR

0.4–0.65

INR

0.8–1.19

Right heart enlargement^a

0–1

APTT (S)

20.1–31.8

ASD size (mm)

5–22

TT (S)

14-119.6

LVEF (%)

60–73

Fibrinogen (mg/dl)

0.97–3.5

Leukocyte (×10⁹/L)

4-13.88

FDP (µg/ml)

2.5-87.94

Erythrocyte (×10⁹/L)

3.5–5.33

D dimer (mg/L)

0-3.02

Hemoglobin (g/L)

86–152

BMI (kg/m²)

0.19–14.78

Platelets (×10⁹/L)

100–443

BSA (m²)

0.345-1.124

Albumin (g/L)

40-54.98

Operating age (year)

0.50-14.78

ALT (U/L)

5.98–109.6

Creatinine (µmol/l)

4.78-318.69

AST (U/L)

10.21–95.17

Urea (mmol/L)

0.99–7.34