CareLit Fachartikel

Personalized Nutrition for obese individuals – A case study comparing the Food4Me algorithm against OpenAI’s ChatGPT

Agne, I.; Kolossa, S.; Hartwig, K.; Daniel, H.; Gedrich, K. · Aktuelle Ernährungsmedizin · 2024 · Heft 3 · S. 1 bis 1

Dokument
327663
CareLit-ID
Jahr
2024
Publikation
PDF
nein
Metadaten
DOI
ja
zitierfähig

Bibliografische Angaben

Zeitschrift
Aktuelle Ernährungsmedizin
Autor:innen
Agne, I.; Kolossa, S.; Hartwig, K.; Daniel, H.; Gedrich, K.
Ausgabe
Heft 3 / 2024
Jahrgang 19
Seiten
1 bis 1
Erschienen: 2024-05-22 13:00:00
ISSN
0341-0501

Zusammenfassung

Due to the globally rising prevalence of obesity, exploring effective methods of prevention and therapy are increasingly important. In this context, personalized nutrition is being discussed as a promising approach. The Food4Me study, published in 2014, was an internet-based, controlled clinical trial investigating the effectiveness of personalized nutrition interventions in more than 1600 subjects. The study demonstrated that tailoring dietary advice to individual needs and circumstances is more likely to support prudent behavior changes than standard dietary guidelines. While, in theory, the concept of persona…

Schlagworte

Gesundheit Pflege Population Germany Obesity Aktuelle Ernährungsmedizin