Table 4. AIC Values for Various Model Structures.

	Model	Case 1	Case 2
NCF	−2546.28	−2535.65	−2543.38
CF HS	−2430.25	−2227.60	−2426.25
CF IS	−2775.62	−2287.07	−2775.57
CF Pediatric	−1858.37	−1597.47	−1854.37

The Akaike Information Criterion (AIC) is a metric for determining the most appropriate model for a system, where better fit is balanced against a penalty for overparameterization. Total AIC is shown as calculated from Equation 7 for all cases: 1) exclude from model structure; 2) include in model structure.