Table 2 Comparison between the random forest model and multivariable logistic regression analysis.

From: Machine learning for predicting functional outcomes in acute ischemic stroke: insights from a nationwide stroke registry

Variable

Random forest

Multivariable logistic regression

Importance

Category

Odds ratio

CI lower

CI upper

Significance

Initial NIHSS

1.00

Very high

0.86

0.86

0.87

p < 0.001

Age

0.90

Very high

0.98

0.97

0.98

p < 0.001

Onset to image time (min)

0.70

Very high

1.00

1.00

1.00

Onset to door time (min)

0.65

Very high

1.00

1.00

1.00

Charlson comorbidity index

0.55

High

0.76

0.75

0.78

p < 0.001

Intravenous thrombolysis

0.45

High

1.36

1.28

1.43

p < 0.001

Dysphagia

0.35

High

1.45

1.37

1.53

p < 0.001

Initiation of oral diet

0.30

High

0.11

0.09

0.14

p < 0.001

Rehabilitation treatment

0.28

Medium

1.73

1.64

1.83

p < 0.001

Screening of dysphagia

0.25

Medium

0.66

0.59

0.74

p < 0.001

Rehabilitation consult

0.23

Medium

2.76

2.53

3.02

p < 0.001

EMS

0.20

Medium

1.39

1.32

1.47

p < 0.001

Diagnostic image check

0.18

Medium

1.06

1.04

1.09

p < 0.001

Stroke unit

0.15

Medium

0.79

0.74

0.84

p < 0.001

Hospital volume

0.13

Medium

0.99

0.98

0.99

p < 0.001

Sex

0.10

Medium

0.84

0.79

0.88

p < 0.001

Antiplatelet medication

0.09

Low

0.96

0.88

1.05

Smoker

0.09

Low

1.09

1.03

1.16

p < 0.01

Anticoagulant medication

0.08

Low

0.97

0.91

1.02

Status of health insurance

0.08

Low

0.74

0.67

0.81

p < 0.001

Atrial fibrillation

0.07

Low

0.83

0.74

0.94

p < 0.01

Surgery

0.07

Low

0.99

0.98

1.00

No antithrombotic medication

0.06

Low

0.38

0.32

0.46

p < 0.001

ER visit route

0.05

Low

   

Mechanical thrombectomy

0.05

Low

2.62

2.19

3.13

p < 0.001

Lipid profile test

0.04

Low

0.90

0.81

1.00

p < 0.05

  1. Statistical significance *** p < 0.001, ** p < 0.01, * p < 0.05.
  2. EMS, EMS, Emergency medical service; ER, emergency room; NIHSS, National Institutes of Health Stroke Scale.