Non-invasive Diabetes Mellitus Diagnostics Using Laser-Induced Breakdown Spectroscopy and Support Vector Machine Algorithm
Author:
Publisher
Springer Science and Business Media LLC
Subject
Multidisciplinary
Link
https://link.springer.com/content/pdf/10.1007/s13369-023-08269-8.pdf
Reference25 articles.
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2. Chen, L.; Magliano, D.J.; Zimmet, P.Z.: The worldwide epidemiology of type 2 diabetes mellitus—present and future perspectives. Nat. Rev. Endocrinol. 8(4), 228–236 (2012)
3. Abebe, M.; Adane, T.; Kefyalew, K.; et al.: Variation of urine parameters among diabetic patients: A cross-sectional study. Ethiopian J Health Sci, 29(1), (2019)
4. Houstis, N.; Rosen, E.D.; Lander, E.S.: Reactive oxygen species have a causal role in multiple forms of insulin resistance. Nature 440(7086), 944–948 (2006)
5. Kazi, T.G.; et al.: Copper, chromium, manganese, iron, nickel, and zinc levels in biological samples of diabetes mellitus patients. Biol. Trace Elem. Res. 122, 1–18 (2008)
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