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

Authors

Keywords

FTIR spectroscopy, Artificial neural networks, Saliva, Non-invasive, Diabetes

Journal

Volume 221, Issue -, Pages 121650

Publisher

Elsevier BV

Online

2020-09-14

DOI

10.1016/j.talanta.2020.121650

References

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