Sajid Farooq, Daniella Lúmara Peres, D. C. Caixeta, Cassio Lima, Robinson Sabino Da Silva, D. Zezell
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Monitoring Changes in Urine from Diabetic Rats Using ATR-FTIR and Machine Learning
Here, we aim to better characterize diabetes mellitus (DM) by analyzing 149 urine spectral samples, comprising of diabetes versus healthy control groups employing ATR-FTIR spectroscopy, combined with a 3D discriminant analysis machine learning approach. Our results depict that the model is highly precise with accuracy close to 100%.
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