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Table 3 Most contributing risk factors for CVD prediction

From: Cardiovascular disease incidence prediction by machine learning and statistical techniques: a 16-year cohort study from eastern Mediterranean region

Variable

CVD

(n = 819)

Non-CVD

(n = 4613)

p-value*

Age

56.59 ± 11.62

49.25 ± 11.06

< 0.001

Systolic Blood Pressure (mmHg)

131.86 ± 23.58

119.41 ± 19.64

< 0.001

Fasting Blood Sugar (mg/dL)

99.48 ± 46.89

86.26 ± 28.07

< 0.001

Two-hour Postprandial Glucose (mg/dL)

119.52 ± 64.63

104.67 ± 43.43

< 0.001

History of Heart Disease

  

< 0.001

Yes

148 (41.69%)

207 (58.31%)

 

No

745 (15.10%)

4189 (84.90%)

 

History of High Blood Pressure

  

< 0.001

Yes

247 (35.90%)

441 (64.10%)

 

No

646 (14.04%)

3955 (85.96%)

 

History of Diabetes

  

< 0.001

Yes

146 (39.14%)

227 (60.86%)

 

No

747 (15.20%)

4169 (84.80%)

 

Diabetes Mellitus

  

< 0.001

Yes

160 (36.61%)

277 (63.39%)

 

No

733 (15.11%)

4119 (84.89%)

 
  1. *Resulted from independent samples t-test or chi-squared test