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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, Mónica Maribel Mata-Miranda, Julio César Martínez Romo, Gustavo Jesús Vázquez-Zapién

2020Talanta27 citationsDOI

Topics & Concepts

Support vector machineChemistryFourier transform infrared spectroscopySalivaArtificial neural networkDiabetes mellitusArtificial intelligenceCluster analysisFourier transformMachine learningPattern recognition (psychology)Computer scienceBiochemistryChemical engineeringEndocrinologyMathematicsEngineeringMathematical analysisMedicineSpectroscopy Techniques in Biomedical and Chemical ResearchSpectroscopy and Chemometric AnalysesAdvanced Chemical Sensor Technologies
A machine-learning strategy to evaluate the use of FTIR spectra of saliva for a good control of type 2 diabetes | Litcius