Feature importance in 10-year ASCVD risk ML predictive model | Feature importance in lifetime ASCVD risk ML predictive model | |
---|---|---|
Age | 0.150 | 0.074 |
Height | 0.063 | 0.051 |
Weight | 0.078 | 0.035 |
BMI | 0.065 | 0.039 |
Systolic blood pressure | 0.043 | 0.069 |
Diastolic blood pressure | 0.030 | 0.037 |
Diabetes mellitus | 0.041 | 0.007 |
Hypertension | 0.006 | 0.015 |
Dyslipidaemia | 0.012 | 0.009 |
Hypothyroidism | 0.023 | 0.013 |
Smoker | 0.000 | 0.000 |
Disease duration | 0.036 | 0.043 |
FIQR score | 0.071 | 0.062 |
BPI total score | 0.038 | 0.029 |
BPI average score | 0.066 | 0.047 |
ESR | 0.036 | 0.044 |
CRP | 0.040 | 0.050 |
Serum total cholesterol | 0.077 | 0.179 |
Serum LDL | 0.041 | 0.083 |
Serum HDL | 0.022 | 0.051 |
Serum triglycerides | 0.070 | 0.055 |