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Table 1 The different virtual subjects have been generated by varying the parameters in this table and corresponding to 46170 different initial conditions

From: Emulating complex simulations by machine learning methods

Anthropometric measures
\(\bullet\) Sex \(S\in \{female, male\}\)
\(\bullet\) Age \(A\in \{28, 38, 48, 58, 68\}\)
\(\bullet\) Weight \(W\in \{ underweight, normal, overweight \}\)
\(\bullet\) Height \(H\in \{ short, average, tall \}\)
Physical activity
\(\bullet\) Number of sessions per week \(N_{\mathrm{PA}} \in \{ 0, 1, 2, 3\}\)
\(\bullet\) Duration (mins) \(D_{\mathrm{PA}} \in \{ low=30, medium=60, high=90 \}\)
\(\bullet\) Intensity (% of VO2max) \(I_{\mathrm{PA}} \in \{ low = 40, high = 60 \}\)
Food intake (3 meals per day, breakfast, lunch, dinner)
\(\bullet\) Carbohydrates (grams) \(C_{\mathrm{ME}} \in \{ low, med, high \}\)
\(\bullet\) Proteins (grams) \(P_{\mathrm{ME}} \in \{ low, med, high \}\)
\(\bullet\) Fats (grams) \(F_{\mathrm{ME}} \in \{ low, med, high \}\)