Predicting restoration failures in primary and permanent teeth: a machine learning approach (2025)
Source: Dental Materials. Unidade: FO
Subjects: CÁRIE DENTÁRIA, DIAGNÓSTICO CLÍNICO, RESTAURAÇÃO DENTÁRIA, APRENDIZADO COMPUTACIONAL
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ROMERO, Vitor Henrique Digmayer et al. Predicting restoration failures in primary and permanent teeth: a machine learning approach. Dental Materials, 2025Tradução . . Acesso em: 29 jan. 2026.APA
Romero, V. H. D., Chaves, E. T., Vinayahalingam, S., Schuch, H. S., Chen, X., Li, Y., et al. (2025). Predicting restoration failures in primary and permanent teeth: a machine learning approach. Dental Materials.NLM
Romero VHD, Chaves ET, Vinayahalingam S, Schuch HS, Chen X, Li Y, Schwendicke F, Braga MM, Raggio DP, Signori C, Freitas RD de, Mendes FM, Huysmans M-C, Cenci MS. Predicting restoration failures in primary and permanent teeth: a machine learning approach. Dental Materials. 2025 ;[citado 2026 jan. 29 ]Vancouver
Romero VHD, Chaves ET, Vinayahalingam S, Schuch HS, Chen X, Li Y, Schwendicke F, Braga MM, Raggio DP, Signori C, Freitas RD de, Mendes FM, Huysmans M-C, Cenci MS. Predicting restoration failures in primary and permanent teeth: a machine learning approach. Dental Materials. 2025 ;[citado 2026 jan. 29 ]
