A Comprehensive Survey on Diabetes Type-2 (T2D) Forecast Using Machine Learning
Author:
Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s11831-023-10061-8.pdf
Reference104 articles.
1. Deberneh HM, Kim I (2021) Prediction of type 2 diabetes based on machine learning algorithm. Int J Environ Res Public Health 18(6):3317. https://doi.org/10.3390/ijerph18063317
2. Howlader KC et al (2022) Machine learning models for classification and identification of significant attributes to detect type 2 diabetes. Health Inform Sci and Syst. https://doi.org/10.1007/s13755-021-00168-2
3. Fan Y, Long E, Cai L, Cao Q, Wu X, Tong R (2021) Machine learning approaches to predict risks of diabetic complications and poor glycemic control in nonadherent type 2 diabetes. Front Pharmacol. https://doi.org/10.3389/fphar.2021.665951
4. Rai V et al (2020) Single-cell ATAC-Seq in human pancreatic islets and deep learning upscaling of rare cells reveals cell-specific type 2 diabetes regulatory signatures. Mol Metab 32:109–121. https://doi.org/10.1016/j.molmet.2019.12.006
5. https://nyulangone.org/conditions/type-2-diabetes/diagnosis
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