guevaracodina/raman-diabetes
The dataset of our work where the application of portable Raman spectroscopy coupled with several supervised machine-learning techniques, is used to discern between diabetic patients (DM2) and healthy controls (Ctrl), with a high degree of accuracy. This script pre-processes the spectra to reproduce Fig. 1 of our paper: Use of Raman Spectroscopy to Screen Diabetes Mellitus with Machine Learning Tools Edgar Guevara, Juan Carlos Torres-Galván, Miguel G. Ramírez-Elías, Claudia Luevano-Contreras and Francisco Javier González Biomedical Optics Express (2018) _______________________________________________________________________________ Copyright (C) 2018 Edgar Guevara, PhD CONACYT-Universidad Autónoma de San Luis Potosí Coordinación para la Innovación y Aplicación de la Ciencia y la Tecnología _______________________________________________________________________________