Gracida-Osorno, C.; Molina-Salinas, G.M.; Góngora-Hernández, R.; Brito-Loeza, C.; Uc-Cachón, A.H.; Paniagua-Sierra, J.R.
Machine Learning for Predicting Chronic Renal Disease Progression in COVID-19 Patients with Acute Renal Injury: A Feasibility Study. Biomedicines 2024, 12, 1511.
https://doi.org/10.3390/biomedicines12071511
AMA Style
Gracida-Osorno C, Molina-Salinas GM, Góngora-Hernández R, Brito-Loeza C, Uc-Cachón AH, Paniagua-Sierra JR.
Machine Learning for Predicting Chronic Renal Disease Progression in COVID-19 Patients with Acute Renal Injury: A Feasibility Study. Biomedicines. 2024; 12(7):1511.
https://doi.org/10.3390/biomedicines12071511
Chicago/Turabian Style
Gracida-Osorno, Carlos, Gloria María Molina-Salinas, Roxana Góngora-Hernández, Carlos Brito-Loeza, Andrés Humberto Uc-Cachón, and José Ramón Paniagua-Sierra.
2024. "Machine Learning for Predicting Chronic Renal Disease Progression in COVID-19 Patients with Acute Renal Injury: A Feasibility Study" Biomedicines 12, no. 7: 1511.
https://doi.org/10.3390/biomedicines12071511
APA Style
Gracida-Osorno, C., Molina-Salinas, G. M., Góngora-Hernández, R., Brito-Loeza, C., Uc-Cachón, A. H., & Paniagua-Sierra, J. R.
(2024). Machine Learning for Predicting Chronic Renal Disease Progression in COVID-19 Patients with Acute Renal Injury: A Feasibility Study. Biomedicines, 12(7), 1511.
https://doi.org/10.3390/biomedicines12071511