Machine learning in prediction of genetic risk of nonsyndromic oral clefts in the Brazilian population
Author:
Funder
Fundação de Amparo à Pesquisa do Estado de São Paulo
Publisher
Springer Science and Business Media LLC
Subject
General Dentistry
Link
http://link.springer.com/content/pdf/10.1007/s00784-020-03433-y.pdf
Reference46 articles.
1. Dixon MJ, Marazita ML, Beaty TH, Murray JC (2011) Cleft lip and palate: understanding genetic and environmental influences. Nat Rev Genet 12(3):167–178
2. Mossey PA, Little J, Munger RG, Dixon MJ, Shaw WC (2009) Cleft lip and palate. Lancet 374(9703):1773–1785
3. Martelli-Junior H, Porto LV, Martelli DR, Bonan PR, Freitas AB, Della Coletta R (2007) Prevalence of nonsyndromic oral clefts in a reference hospital in the state of Minas Gerais, Brazil, between 2000-2005. Braz Oral Res 21(4):314–317
4. Rodrigues K, Sena MF, Roncalli AG, Ferreira MA (2009) Prevalence of orofacial clefts and social factors in Brazil. Braz Oral Res 23(1):38–42
5. Wehby GL, Cassell CH (2010) The impact of orofacial clefts on quality of life and healthcare use and costs. Oral Dis 16(1):3–10
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