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Table 1 Demographic characteristics of the subjects

From: Development and comparison of machine learning-based models for predicting heart failure after acute myocardial infarction

Items

All enrollees (n = 3312)

Cohort 1 (n = 1625)

P values

Cohort 2 (n = 1687)

P values

All patients (%)

     

 HF

1621(48.9)

801 (49.3)

 

820(48.6)

 

 Control

1691(51.1)

824(50.7)

 

867(51.4)

0.780

Age ± SD

     

 HF

63.0 ± 12.0

64.0 ± 12.0

 

63.0 ± 12.0

 

 Control

61.0 ± 12.0

60.0 ± 12.0

< 0.001

61.0 ± 11.0

< 0.001

Gender ( male %)

     

 HF

963(59.4)

469 (58.6)

 

494 (60.2)

 

 Control

1220(72.1)

601 (72.9)

< 0.001

619 (71.4)

< 0.001

High blood pressure (%)

     

 HF

852(52.6)

419(52.3)

 

433(52.8)

 

 Control

849(50.2)

420(51.0)

0.620

429(49.5)

0.173

Diabetes (%)

     

 HF

298(18.4)

141(17.6)

 

157(19.1)

 

 Control

269(15.9)

129(15.6)

0.317

140(16.1)

0.110