,

Michael Willian Favoreto1, Thalita de Paris Matos2, Kaliane Rodrigues da Cruz2

  • 1Department of Restorative Dentistry, Tuiuti University of Parana, Padre Ladislau Kula, 395, Santo Inácio, Curitiba, Paraná 82010-210, Brazil; Department of Restorative Dentistry, State University of Ponta Grossa, Avenida Carlos Cavalcanti, 4748, Bloco M, Sala 04, Ponta Grossa, Paraná 84030-900, Brazil.

Journal of dentistry
|December 7, 2024
PubMed
概括

机器学习模型准确地预测牙敏感性 (TS) 的发生和强度在牙漂白患者. 渐变增强和支持向量机算法显示了最有前途的治疗后护理.