Valdez Vega, R.I.; Noboa-Velástegui, J.A.; Fletes-Rayas, A.L.; Álvarez, I.; Ramos-Marquez, M.E.; Ruíz-Quezada, S.L.; Torres-Carrillo, N.M.; Navarro-Hernández, R.E.
Predicting Metabolic Syndrome Using Supervised Machine Learning: A Multivariate Parameter Approach. Int. J. Mol. Sci. 2025, 26, 9897.
https://doi.org/10.3390/ijms26209897
AMA Style
Valdez Vega RI, Noboa-Velástegui JA, Fletes-Rayas AL, Álvarez I, Ramos-Marquez ME, Ruíz-Quezada SL, Torres-Carrillo NM, Navarro-Hernández RE.
Predicting Metabolic Syndrome Using Supervised Machine Learning: A Multivariate Parameter Approach. International Journal of Molecular Sciences. 2025; 26(20):9897.
https://doi.org/10.3390/ijms26209897
Chicago/Turabian Style
Valdez Vega, Rodolfo Iván, Jacqueline Alejandra Noboa-Velástegui, Ana Lilia Fletes-Rayas, Iñaki Álvarez, Martha Eloisa Ramos-Marquez, Sandra Luz Ruíz-Quezada, Nora Magdalena Torres-Carrillo, and Rosa Elena Navarro-Hernández.
2025. "Predicting Metabolic Syndrome Using Supervised Machine Learning: A Multivariate Parameter Approach" International Journal of Molecular Sciences 26, no. 20: 9897.
https://doi.org/10.3390/ijms26209897
APA Style
Valdez Vega, R. I., Noboa-Velástegui, J. A., Fletes-Rayas, A. L., Álvarez, I., Ramos-Marquez, M. E., Ruíz-Quezada, S. L., Torres-Carrillo, N. M., & Navarro-Hernández, R. E.
(2025). Predicting Metabolic Syndrome Using Supervised Machine Learning: A Multivariate Parameter Approach. International Journal of Molecular Sciences, 26(20), 9897.
https://doi.org/10.3390/ijms26209897