FRANCISCO LUNA ROSAS

A machine-learning strategy to evaluate the use of FTIR spectra of saliva for a good control of type 2 diabetes

Miguel Sánchez-Brito, FRANCISCO LUNA ROSAS, Ricardo Mendoza-González et al. · Talanta · 2020 · 24 citations

Bioanalysis, Diabetes, Type 2 +8

Internet Data Analysis Methodology for Cyberterrorism Vocabulary Detection, Combining Techniques of Big Data Analytics, NLP and Semantic Web

IVAN CASTILLO ZUÑIGA, FRANCISCO LUNA ROSAS, Laura C. Rodríguez-Martínez et al. · International Journal on Semantic Web and Information Systems · 2019 · 18 citations

Engineering, Big Data Analytics, Semantic Web +20

Improving Sensitivity and Specificity in Breast Cancer Detection Using Raman Spectroscopy and Bayesian Classification

Julio César Martínez Romo, FRANCISCO LUNA ROSAS, Ricardo Mendoza-González et al. · Spectroscopy Letters · 2013 · 10 citations

Engineering, Surface-enhanced Raman Scattering, Diagnosis +21

Type 2 diabetes diagnosis assisted by machine learning techniques through the analysis of FTIR spectra of saliva

Miguel Sánchez-Brito, FRANCISCO LUNA ROSAS, Ricardo Mendoza-González et al. · Biomedical Signal Processing and Control · 2021 · 10 citations

Attenuated total reflection FTIR dataset for identification of type 2 diabetes using saliva

Miguel Sánchez-Brito, Gustavo Jesús Vázquez-Zapién, FRANCISCO LUNA ROSAS et al. · Computational and Structural Biotechnology Journal · 2022 · 10 citations · Full text