Machine Learning-Based Indices Assessing Different Aspects of Beta-Cell Function in Pregnancy
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Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-62502-2_70
Reference10 articles.
1. Tura, A., et al.: Progression to type 2 diabetes in women with former gestational diabetes: time trajectories of metabolic parameters. PLoS ONE 7(11), e50419 (2012). https://doi.org/10.1371/journal.pone.0050419
2. Tura, A., Mari, A., Prikoszovich, T., Pacini, G., Kautzky-Willer, A.: Value of the intravenous and oral glucose tolerance tests for detecting subtle impairments in insulin sensitivity and beta-cell function in former gestational diabetes. Clin. Endocrinol.. Endocrinol. 69(2), 237–243 (2008). https://doi.org/10.1111/j.1365-2265.2008.03178.x
3. Tura, A., Muscelli, E., Gastaldelli, A., Ferrannini, E., Mari, A.: Altered pattern of the incretin effect as assessed by modeling in individuals with glucose tolerance ranging from normal to diabetic. Diabetologia 57(6), 1199–1203 (2014). https://doi.org/10.1007/s00125-014-3219-7
4. Salvatori, B., Linder, T., Eppel, D., Morettini, M., Göbl, C., Tura, A.: Empirical index for easy assessment of pancreatic beta-cell glucose sensitivity during pregnancy: a machine learning approach. In: 2022 E-Health and Bioengineering Conference (EHB), pp. 01–04. IEEE (2022)
5. American Diabetes Association Professional Practice Committee: 2. Classification and diagnosis of diabetes: standards of medical care in diabetes-2022. Diabetes Care 45(1), S17–S38 (2022). https://doi.org/10.2337/dc22-S002
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