A deep learning model for identification of diabetes type 2 based on nucleotide signals
Author:
Publisher
Springer Science and Business Media LLC
Subject
Artificial Intelligence,Software
Link
https://link.springer.com/content/pdf/10.1007/s00521-022-07121-8.pdf
Reference49 articles.
1. Ho DSW, Schierding W, Wake M, Saffery R, O’Sullivan J (2019) Machine learning SNP based prediction for precision medicine. Front Genet. https://doi.org/10.3389/fgene.2019.00267
2. Imani M, Ghoreishi S, F. (2020) Optimal finite-horizon perturbation policy for inference of gene regulatory networks. IEEE Intell Syst. https://doi.org/10.1109/MIS.2020.3017155
3. Guariguata L, Whiting DR, Hambleton I, Beagley J, Linnenkamp U, Shaw JE (2014) Global estimates of diabetes prevalence for 2013 and projections for 2035. Diabetes Res Clin Pract 103:137–149
4. Arikoglu H, Kaya DE (2015) Tip 2 diyabetin moleküler genetik temeli; Son gelişmeler. Genel Tıp Dergisi 25:147–159
5. Defronzo RA, Ferrannini E, Groop L, Henry RR, Herman WH, Holst JJ et al (2015) Type 2 diabetes mellitus. Nat Rev Dis Primers 1:15019. https://doi.org/10.1038/nrdp.2015.19
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