Prediction of Type 2 Diabetes Mellitus According to Glucose Metabolism Patterns in Pregnancy Using a Novel Machine Learning Algorithm
Author:
Publisher
Springer Science and Business Media LLC
Subject
Biomedical Engineering,General Medicine
Link
https://link.springer.com/content/pdf/10.1007/s40846-022-00685-9.pdf
Reference28 articles.
1. Correa, A., Bardenheier, B., Elixhauser, A., Geiss, L. S., & Gregg, E. (2015). Trends in prevalence of diabetes among delivery hospitalizations, United States, 1993–2009. Maternal and Child Health Journal, 19, 635–642.
2. Committee on Practice Bulletins -Obstetrics Practice bulletin no. (2018). 190: Gestational diabetes mellitus. Obstetrics and Gynecology, 131(2), e49–e64.
3. Farahvar, S., Walfisch, A., & Sheiner, E. (2019). Gestational diabetes risk factors and long-term consequences for both mother and offspring: A literature review. Expert Review of Endocrinology & Metabolism, 14(1), 63–74.
4. Gunderson, E. P., Chiang, V., Pletcher, M. J., Jacobs, D. R., Quesenberry, C. P., Sidney, S., et al. (2014). History of gestational diabetes mellitus and future risk of atherosclerosis in mid-life: The Coronary Artery Risk Development in Young Adults study. Journal of the American Heart Association, 3(2), e000490.
5. Bellamy, L., Casas, J.-P., Hingorani, A. D., & Williams, D. (2009). Type 2 diabetes mellitus after gestational diabetes: A systematic review and meta-analysis. The Lancet, 373(9677), 1773–1779.
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