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Integral Analysis to Detect of Type 2 Diabetes Using Biomarkers and Raman Spectroscopy.

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Abstract

Diabetic, non-diabetic patients and Raman spectra body parts analyzed to detect glycosylated hemoglobin. Saliva and urine correlated biomarkers diabetes to determine kidney damage; Raman signal and SVM classified diabetic and non-diabetic patients.

© 2020 The Author(s)

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Poster Presentation

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