Feed-forward neural network model for hunger and satiety related VAS score prediction

Table 1 Description of datasets: Ileal infusion, training set: Dataset A, and the test set: Dataset B, employing ileal macronutrient perfusion [35]

Data Source	Data Name	G	C	P	H	S	F	D	Sub	T _s	T _e	Ml/If	NPS
Dataset A	Placebo	✓	✓	✓	✓	✓	✓	✓	13	–15	240	0, 30–120	10
	Safflower	✓	✓	✓	✓	✓	✓	✓	13	–15	240	0, 30–121	10
Dataset B	Casein-high	✓	✓	✓	✓	✓	✓	✓	13	–15	240	0, 30–122	10
	Casein-low	✓	✗	✓	✓	✓	✓	✓	13	–15	240	0, 30–123	10
	Sucrose-high	✓	✗	✓	✓	✓	✓	✓	13	–15	240	0, 30–123	10

The letters or abbreviation in the headers are as follows: DataName = the perfusion macro-nutrient type; G = GLP-1 (pmol/l); C = CCK (pmol/l); P = PYY (pg/ml); H = VAS for Hunger; S = VAS for Satiety; F = VAS for Fullness; D = VAS for Desire to eat; Sub = Number of subjects; Ts = Tstart (min); Te = Tend (min); Ml/If = time point/range for Meal/Infusion; NPS = Number of Plasma Samples. A check mark (✓) indicates that the corresponding satiety hormone measurements and/or VAS scores were available, while a cross mark (✗) indicates non-availability of the measurements

ISSN: 1742-4682