Source: Clinical Oral Investigations. Unidades: FOB, HRAC
Subjects: FISSURA LÁBIOPALATINA, POLIMORFISMO, APRENDIZADO COMPUTACIONAL, ACONSELHAMENTO GENÉTICO
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: 04 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. 04 ] 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. 04 ] Available from: https://doi.org/10.1007/s00784-020-03433-y