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Table 1 Demographic data of patients

From: Application of artificial neural network in daily prediction of bleeding in ICU patients treated with anti-thrombotic therapy

 

Training set

(N = 1600)

Validation set

(N = 169)

Testing set

(N = 169)

P value

Age (median [IQR])

68.69 [55.50, 79.05]

71.38 [59.00, 79.76]

69.13 [57.76, 78.33]

0.442

Male (%)

918 (57.4)

98 (58.0)

88 (52. 1)

0.400

Congestive heart failure (%)

58 (3.6)

8 (4.7)

6 (3.6)

0.764

Cardiac arrhythmias (%)

6 (0.4)

0 (0.0)

0 (0.0)

0.530

Valvular disease (%)

59 (3.7)

10 (5.9)

2 (1.2)

0.068

Peripheral vascular disease (%)

57 (3.6)

8 (4.7)

1 (0.6)

0.078

Other neurological disease (%)

15 (0.9)

1 (0.6)

4 (2.4)

0.182

Hypertension (%)

8 (0.5)

0 (0.0)

1 (0.6)

0.640

Chronic pulmonary disease (%)

11 (0.7)

0 (0.0)

3 (1.8)

0.145

Diabetes uncomplicated (%)

6 (0.4)

0 (0.0)

0 (0.0)

0.530

Hypothyroidism (%)

1 (0.1)

0 (0.0)

0 (0.0)

0.900

Renal failure (%)

2 (0.1)

0 (0.0)

0 (0.0)

0.809

Liver disease (%)

18 (1.1)

0 (0.0)

0 (0.0)

0.147

Peptic ulcer (%)

1 (0.1)

0 (0.0)

0 (0.0)

0.900

AIDS (%)

7 (0.4)

2 (1.2)

0 (0.0)

0.259

Lymphoma (%)

9 (0.6)

0 (0.0)

0 (0.0)

0.385

Solid tumor (%)

55 (3.4)

8 (4.7)

3 (1.8)

0.320

Rheumatoid arthritis (%)

4 (0.2)

0 (0.0)

0 (0.0)

0.655

Coagulopathy (%)

1 (0.1)

0 (0.0)

0 (0.0)

0.900

Alcohol abuse (%)

3 (0.2)

1 (0.6)

1 (0.6)

0.412