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Table 1 Description of the dataset containing the 16 baseline variables that were measured among n = 2020 ATTICA study participants

From: Machine learning methodologies versus cardiovascular risk scores, in predicting disease risk

Variable used in ML Male Female
Age in years, mean ± SD 46 ± 13 45 ± 14
Smoking status at baseline, %(yes) 44% 37%
Years of school mean ± SD 12.3 ± 3.6 12.0 ± 3.8
MedDietScore (range 0–55), mean ± SD 24 ± 5 27 ± 7
Basic metabolic rate as a proxy of energy expenditure 1783 ± 228 1384 ± 128
Body mass index in kg/m2, mean ± SD 27.3 ± 3.9 25.2 ± 4.7
Diastolic blood pressure levels in mmHg, mean ± SD 82 ± 11 76 ± 11
Systolic blood pressure levels in mmHg, mean ± SD 127 ± 17 118 ± 18
History of hypertension (including medication), % 39% 24%
Glucose levels (in mg/dl), mean ± SD 95 ± 25 90 ± 22
History of diabetes mellitus (including medication), % 8% 6%
Total cholesterol levels (in mg/dl), mean ± SD 197 ± 42 191 ± 41
Triglycerides (in mg/dl), mean ± SD 140 ± 102 98 ± 56
History of hypercholesterolemia (including medication), % 46% 38%
Interleukin-6 levels (ng/ml), mean ± SD 1.5 ± 0.5 1.4 ± 0.5