Open AccessUse of Raman spectroscopy to screen diabetes mellitus with machine learning tools: reply to comment
Author(s) -
Edgar Guevara,
Juan Carlos TorresGalván,
Miguel G. RamírezElías,
Claudia Luévano-Contreras,
Francisco González
Publication year - 2019
Publication title -
biomedical optics express
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.362
H-Index - 86
ISSN - 2156-7085
DOI - 10.1364/boe.10.004492
Subject(s) - raman spectroscopy , glycation , support vector machine , diabetes mellitus , computer science , artificial intelligence , spectroscopy , medical physics , optics , pattern recognition (psychology) , medicine , physics , endocrinology , quantum mechanics
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.