Data assimilation on mechanistic models of glucose metabolism predicts glycemic states in adolescents following bariatric surgery

Richter, L. R., Albert, B. I., Zhang, L., Ostropolets, A., Zitsman, J. L., Fennoy, I., Albers, D. J., & Hripcsak, G. (2022). Data assimilation on mechanistic models of glucose metabolism predicts glycemic states in adolescents following bariatric surgery. Frontiers in Physiology, 13. https://doi.org/10.3389/fphys.2022.923704
Authors:
Lauren R. Richter
Benjamin I. Albert
Linying Zhang
Anna Ostropolets
Jeffrey L. Zitsman
Ilene Fennoy
David J. Albers
George Hripcsak
Affiliated Authors:
Lauren R. Richter
Benjamin I. Albert
Linying Zhang
Anna Ostropolets
Jeffrey L. Zitsman
Ilene Fennoy
David J. Albers
George Hripcsak
Author Keywords:
type 2 diabetes
data assimilation
mechanistic models of glucose metabolism
pediatrics
bariatric surgery
machine learning
obesity
Publication Type:
Article
Unique ID:
10.3389/fphys.2022.923704
PMID:
Publication Date:
Data Source:
OpenAlex

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