Non-invasive Characterization of Glycosuria and Identification of Biomarkers in Diabetic Urine Using Fluorescence Spectroscopy and Machine Learning Algorithm-Reference-Cited by-同舟云学术

Non-invasive Characterization of Glycosuria and Identification of Biomarkers in Diabetic Urine Using Fluorescence Spectroscopy and Machine Learning Algorithm

Published:2023-08-03 Issue: Volume: Page:
ISSN:1053-0509
Container-title:Journal of Fluorescence
language:en
Short-container-title:J Fluoresc

Author:

Rehan Imran,Ullah Rahat,Khan Saranjam

Publisher

Springer Science and Business Media LLC

Subject

Law,Clinical Biochemistry,Spectroscopy,Sociology and Political Science,Social Sciences (miscellaneous),Clinical Psychology,Biochemistry

Link

https://link.springer.com/content/pdf/10.1007/s10895-023-03366-1.pdf

Reference34 articles.

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3. Beagley J, Guariguata L, Weil C, Motala AA (2014) Global estimates of undiagnosed diabetes in adults. Diabetes Res Clin Pract 103(2):150–160. https://doi.org/10.1016/j.diabres.2013.11.001

4. Amir S, Rabin C, Galatzer A (1990) Cognitive and behavioral determinants of compliance in diabetics health soc. Work 15(2):144–151. https://doi.org/10.1093/hsw/15.2.144

5. Nathan DM et al (1993) The effect of intensive treatment of diabetes on the development and progression of long-term complications in insulin-dependent diabetes mellitus N. Engl J Med 329(14):977–986. https://doi.org/10.1056/NEJM199309303291401

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