Article Versions Notes

Borboa-Olivares H, Rodríguez-Sibaja MJ, Espejel-Nuñez A, Flores-Pliego A, Mendoza-Ortega J, Camacho-Arroyo I, González-Camarena R, Echeverría-Arjonilla JC, Estrada-Gutierrez G. A Novel Predictive Machine Learning Model Integrating Cytokines in Cervical-Vaginal Mucus Increases the Prediction Rate for Preterm Birth. International Journal of Molecular Sciences. 2023; 24(18):13851. https://doi.org/10.3390/ijms241813851

Borboa-Olivares, Hector, Maria Jose Rodríguez-Sibaja, Aurora Espejel-Nuñez, Arturo Flores-Pliego, Jonatan Mendoza-Ortega, Ignacio Camacho-Arroyo, Ramón González-Camarena, Juan Carlos Echeverría-Arjonilla, and Guadalupe Estrada-Gutierrez. 2023. "A Novel Predictive Machine Learning Model Integrating Cytokines in Cervical-Vaginal Mucus Increases the Prediction Rate for Preterm Birth" International Journal of Molecular Sciences 24, no. 18: 13851. https://doi.org/10.3390/ijms241813851

Borboa-Olivares, H., Rodríguez-Sibaja, M. J., Espejel-Nuñez, A., Flores-Pliego, A., Mendoza-Ortega, J., Camacho-Arroyo, I., González-Camarena, R., Echeverría-Arjonilla, J. C., & Estrada-Gutierrez, G. (2023). A Novel Predictive Machine Learning Model Integrating Cytokines in Cervical-Vaginal Mucus Increases the Prediction Rate for Preterm Birth. International Journal of Molecular Sciences, 24(18), 13851. https://doi.org/10.3390/ijms241813851