Alcalá-Rmz, V.; Zanella-Calzada, L.A.; Galván-Tejada, C.E.; GarcÃa-Hernández, A.; Cruz, M.; Valladares-Salgado, A.; Galván-Tejada, J.I.; Gamboa-Rosales, H.
Identification of Diabetic Patients through Clinical and Para-Clinical Features in Mexico: An Approach Using Deep Neural Networks. Int. J. Environ. Res. Public Health 2019, 16, 381.
https://doi.org/10.3390/ijerph16030381
AMA Style
Alcalá-Rmz V, Zanella-Calzada LA, Galván-Tejada CE, GarcÃa-Hernández A, Cruz M, Valladares-Salgado A, Galván-Tejada JI, Gamboa-Rosales H.
Identification of Diabetic Patients through Clinical and Para-Clinical Features in Mexico: An Approach Using Deep Neural Networks. International Journal of Environmental Research and Public Health. 2019; 16(3):381.
https://doi.org/10.3390/ijerph16030381
Chicago/Turabian Style
Alcalá-Rmz, Vanessa, Laura A. Zanella-Calzada, Carlos E. Galván-Tejada, Alejandra GarcÃa-Hernández, Miguel Cruz, Adan Valladares-Salgado, Jorge I. Galván-Tejada, and Hamurabi Gamboa-Rosales.
2019. "Identification of Diabetic Patients through Clinical and Para-Clinical Features in Mexico: An Approach Using Deep Neural Networks" International Journal of Environmental Research and Public Health 16, no. 3: 381.
https://doi.org/10.3390/ijerph16030381
APA Style
Alcalá-Rmz, V., Zanella-Calzada, L. A., Galván-Tejada, C. E., GarcÃa-Hernández, A., Cruz, M., Valladares-Salgado, A., Galván-Tejada, J. I., & Gamboa-Rosales, H.
(2019). Identification of Diabetic Patients through Clinical and Para-Clinical Features in Mexico: An Approach Using Deep Neural Networks. International Journal of Environmental Research and Public Health, 16(3), 381.
https://doi.org/10.3390/ijerph16030381