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

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

AbstractObjectives 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 ran...

Full description

Bibliographic Details
Main Authors: Reza A. Ashrafi, Aila J. Ahola, Milla Rosengård-Bärlund, Tuure Saarinen, Sini Heinonen, Anne Juuti, Pekka Marttinen, Kirsi H. Pietiläinen
Format: Article
Language:English
Published: Taylor & Francis Group 2021-01-01
Series:Annals of Medicine
Subjects:
Bayes’ theorem
computational modelling
dietary intake
one-anastomosis gastric bypass
post-prandial glucose response
Roux-en-Y gastric bypass
Online Access:https://www.tandfonline.com/doi/10.1080/07853890.2021.1964035

Internet

https://www.tandfonline.com/doi/10.1080/07853890.2021.1964035

Similar Items