Machado, Renato Assis 
; Silva, Carolina de Oliveira; Martelli Júnior, Hercílio ; Neves, Lucimara Teixeira das ; Coletta, Ricardo D.
Source: Clinical Oral Investigations. Unidades: FOB, HRAC
Subjects: FISSURA LÁBIOPALATINA, POLIMORFISMO, APRENDIZADO COMPUTACIONAL, ACONSELHAMENTO GENÉTICO
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
MACHADO, Renato Assis et al. Machine learning in prediction of genetic risk of nonsyndromic oral clefts in the Brazilian population. Clinical Oral Investigations, v. 25, n. 3, p. 1273-1280, 2021Tradução . . Disponível em: https://doi.org/10.1007/s00784-020-03433-y. Acesso em: 05 nov. 2024.APA
Machado, R. A., Silva, C. de O., Martelli Júnior, H., Neves, L. T. das, & Coletta, R. D. (2021). Machine learning in prediction of genetic risk of nonsyndromic oral clefts in the Brazilian population. Clinical Oral Investigations, 25( 3), 1273-1280. doi:10.1007/s00784-020-03433-yNLM
Machado RA, Silva C de O, Martelli Júnior H, Neves LT das, Coletta RD. Machine learning in prediction of genetic risk of nonsyndromic oral clefts in the Brazilian population [Internet]. Clinical Oral Investigations. 2021 ; 25( 3): 1273-1280.[citado 2024 nov. 05 ] Available from: https://doi.org/10.1007/s00784-020-03433-yVancouver
Machado RA, Silva C de O, Martelli Júnior H, Neves LT das, Coletta RD. Machine learning in prediction of genetic risk of nonsyndromic oral clefts in the Brazilian population [Internet]. Clinical Oral Investigations. 2021 ; 25( 3): 1273-1280.[citado 2024 nov. 05 ] Available from: https://doi.org/10.1007/s00784-020-03433-y
