Table 3.

Feature weights resulting from multivariate logistic regression

Feature	Weight (IHD Score)	Weight (MI Score)	Weight (early MI Score)
FDR202	0.09 ± 0.01	0.14 ± 0.00	0.24 ± 0.01
GRS46K	0.16 ± 0.00	0.23 ± 0.00	0.24 ± 0.02
1.7M	0.12 ± 0.00	0.17 ± 0.00	0.44 ± 0.01
6M	1.83 ± 0.02	1.85 ± 0.02	0.23 ± 0.01
Diabetes type 2	1.00 ± 0.01	0.80 ± 0.01	1.10 ± 0.05
Family History of Heart Disease	1.01 ± 0.00	0.98 ± 0.01	1.54 ± 0.04
Sex	0.65 ± 0.00	1.02 ± 0.01	1.46 ± 0.04
Birth year	− 0.78 ± 0.00	− 0.79 ± 0.00	1.22 ± 0.02
Systolic blood pressure	− 0.03 ± 0.00	− 0.07 ± 0.00	− 0.37 ± 0.01
BMI	0.23 ± 0.00	0.19 ± 0.00	0.36 ± 0.02
Cholesterol	− 0.34 ± 0.01	− 0.39 ± 0.00	− 0.84 ± 0.02
Triglycerides	0.18 ± 0.00	0.19 ± 0.00	0.32 ± 0.01
LDL	0.17 ± 0.01	0.27 ± 0.02	− 0.77 ± 0.07
Smoking status	0.34 ± 0.00	0.45 ± 0.00	0.57 ± 0.02
PC1	0.17 ± 0.00	0.05 ± 0.04	− 0.09 ± 0.48
PC2	0.16 ± 0.02	0.16 ± 0.04	− 0.39 ± 0.30
PC3	0.01 ± 0.00	0.02 ± 0.00	0.05 ± 0.01
PC4	0.00 ± 0.00	0.01 ± 0.00	0.02 ± 0.01

Feature weights from training the 14-feature logistic regression algorithm, with 95% confidence intervals from 10-fold cross-validation