Ambriola Oku, A.Y.; Zimeo Morais, G.A.; Arantes Bueno, A.P.; Fujita, A.; Sato, J.R.
Potential Confounders in the Analysis of Brazilian Adolescent’s Health: A Combination of Machine Learning and Graph Theory. Int. J. Environ. Res. Public Health 2020, 17, 90.
https://doi.org/10.3390/ijerph17010090
AMA Style
Ambriola Oku AY, Zimeo Morais GA, Arantes Bueno AP, Fujita A, Sato JR.
Potential Confounders in the Analysis of Brazilian Adolescent’s Health: A Combination of Machine Learning and Graph Theory. International Journal of Environmental Research and Public Health. 2020; 17(1):90.
https://doi.org/10.3390/ijerph17010090
Chicago/Turabian Style
Ambriola Oku, Amanda Yumi, Guilherme Augusto Zimeo Morais, Ana Paula Arantes Bueno, André Fujita, and João Ricardo Sato.
2020. "Potential Confounders in the Analysis of Brazilian Adolescent’s Health: A Combination of Machine Learning and Graph Theory" International Journal of Environmental Research and Public Health 17, no. 1: 90.
https://doi.org/10.3390/ijerph17010090
APA Style
Ambriola Oku, A. Y., Zimeo Morais, G. A., Arantes Bueno, A. P., Fujita, A., & Sato, J. R.
(2020). Potential Confounders in the Analysis of Brazilian Adolescent’s Health: A Combination of Machine Learning and Graph Theory. International Journal of Environmental Research and Public Health, 17(1), 90.
https://doi.org/10.3390/ijerph17010090