Salivary ATR-FTIR Spectroscopy Coupled with Support Vector Machine Classification for Screening of Type 2 Diabetes Mellitus

The blood diagnosis of diabetes mellitus (DM) is highly accurate; however, it is an invasive, high-cost, and painful procedure. In this context, the combination of ATR-FTIR spectroscopy and machine learning techniques in other biological samples has been used as an alternative tool to develop a non-...

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Detalles Bibliográficos
Autores principales: Caixeta, Douglas Carvalho, Carneiro, Murillo Guimarães, Rodrigues, Ricardo, Alves, Deborah Cristina Teixeira, Goulart, Luís Ricardo, Cunha, Thúlio Marquez, Espindola, Foued Salmen, Vitorino, Rui, Sabino-Silva, Robinson
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10137088/
https://www.ncbi.nlm.nih.gov/pubmed/37189497
http://dx.doi.org/10.3390/diagnostics13081396

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10137088/
https://www.ncbi.nlm.nih.gov/pubmed/37189497
http://dx.doi.org/10.3390/diagnostics13081396

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