The suitability of dietary recommendations suggested By artificial intelligence technology via a novel personalised nutrition mobile application

The suitability of dietary recommendations suggested By artificial intelligence technology via a novel personalised nutrition mobile application

‘Extreme’ virtual participants were developed to capture specific food allergies/ dietary preferences from three separate target groups: 1) adults who are overweight (OW, BMI 25-29.9 kg/m2); 2) adults with iron-deficiency anaemia (ID, haemoglobin

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Veröffentlicht in:Proceedings of the Nutrition Society 2022, Vol.81 (OCE1), Article E37
Hauptverfasser: Hart, K.H., Wilson-Barnes, S., Stefanidis, K., Tsatsou, D., Gynopoulos, L., Dimitropoulos, K., Rouskas, K., Argiriou, N., Leoni, R., Russell, D., Konstantinova, J., Merry, N., Lalama, E., Pfeiffer, A., Hassapidou, M., Pagkalos, I., Patra, E., Buys, R., Cornelissen, V., Dias, S. Balula, Batista, A., Mantovani, E., Brkic, B., Lanham-New, S.
Format: Artikel
Sprache:eng
Schlagworte:
Adults
Allergies
Anemia
Applications programs
Artificial intelligence
Body weight
Customization
Food
Food allergies
Food preferences
Hemoglobin
Mobile computing
Nutrient deficiency
Nutrition
Overweight
Proteins
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Zusammenfassung:‘Extreme’ virtual participants were developed to capture specific food allergies/ dietary preferences from three separate target groups: 1) adults who are overweight (OW, BMI 25-29.9 kg/m2); 2) adults with iron-deficiency anaemia (ID, haemoglobin
ISSN:0029-6651
1475-2719
DOI:10.1017/S0029665122000374