Use of Raman spectroscopy to screen diabetes mellitus with machine learning tools: Reply to comment
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We show the spectra of advanced glycation products in response to recent comments made by Bratchenko et al. Our results suggest that information retrieved by Raman spectroscopy is relevant to screening diabetic patients, however, the comparison carried out in our paper, between ANN and SVM, was not fair, because of the erroneous PCA selection procedure and different sources of variation present in the analysis. © 2019 Optical Society of America.
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Diagnosis; Machine learning; Advanced glycation product; Diabetes mellitus; Diabetic patient; Selection procedures; Sources of variation; Raman spectroscopy; adult; article; diabetic patient; glycation; human; machine learning; Raman spectrometry
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