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
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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: 17 jul. 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 jul. 17 ] 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 jul. 17 ] Available from: https://doi.org/10.1007/s00784-020-03433-y
