Computational modelling of self-reported dietary carbohydrate intake on glucose concentrations in patients undergoing Roux-en-Y gastric bypass versus one-anastomosis gastric bypass

OBJECTIVES: Our aim was to investigate in a real-life setting the use of machine learning for modelling the postprandial glucose concentrations in morbidly obese patients undergoing Roux-en-Y gastric bypass (RYGB) or one-anastomosis gastric bypass (OAGB). METHODS: As part of the prospective randomiz...

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Detalles Bibliográficos
Autores principales: Ashrafi, Reza A., Ahola, Aila J., Rosengård-Bärlund, Milla, Saarinen, Tuure, Heinonen, Sini, Juuti, Anne, Marttinen, Pekka, Pietiläinen, Kirsi H.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Taylor & Francis 2021
Materias:
Endocrinology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8567939/
https://www.ncbi.nlm.nih.gov/pubmed/34714211
http://dx.doi.org/10.1080/07853890.2021.1964035

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8567939/
https://www.ncbi.nlm.nih.gov/pubmed/34714211
http://dx.doi.org/10.1080/07853890.2021.1964035

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