Villagrana-Bañuelos, K.E.; Galván-Tejada, C.E.; Galván-Tejada, J.I.; Gamboa-Rosales, H.; Celaya-Padilla, J.M.; Soto-Murillo, M.A.; SolÃs-Robles, R.
Machine Learning Model Based on Lipidomic Profile Information to Predict Sudden Infant Death Syndrome. Healthcare 2022, 10, 1303.
https://doi.org/10.3390/healthcare10071303
AMA Style
Villagrana-Bañuelos KE, Galván-Tejada CE, Galván-Tejada JI, Gamboa-Rosales H, Celaya-Padilla JM, Soto-Murillo MA, SolÃs-Robles R.
Machine Learning Model Based on Lipidomic Profile Information to Predict Sudden Infant Death Syndrome. Healthcare. 2022; 10(7):1303.
https://doi.org/10.3390/healthcare10071303
Chicago/Turabian Style
Villagrana-Bañuelos, Karen E., Carlos E. Galván-Tejada, Jorge I. Galván-Tejada, Hamurabi Gamboa-Rosales, José M. Celaya-Padilla, Manuel A. Soto-Murillo, and Roberto SolÃs-Robles.
2022. "Machine Learning Model Based on Lipidomic Profile Information to Predict Sudden Infant Death Syndrome" Healthcare 10, no. 7: 1303.
https://doi.org/10.3390/healthcare10071303
APA Style
Villagrana-Bañuelos, K. E., Galván-Tejada, C. E., Galván-Tejada, J. I., Gamboa-Rosales, H., Celaya-Padilla, J. M., Soto-Murillo, M. A., & SolÃs-Robles, R.
(2022). Machine Learning Model Based on Lipidomic Profile Information to Predict Sudden Infant Death Syndrome. Healthcare, 10(7), 1303.
https://doi.org/10.3390/healthcare10071303
