Prediction based on machine learning of tooth sensitivity for in-office dental bleaching.

Journal: Journal of dentistry
PMID: 39645184

Abstract

OBJECTIVE: To develop a supervised machine learning model to predict the occurrence and intensity of tooth sensitivity (TS) in patients undergoing in-office dental bleaching testing various algorithm models.

Authors

  • Michael Willian Favoreto
    Department of Restorative Dentistry, School of Dentistry, State University of Ponta Grossa, PR, Brazil.
  • Thalita de Paris Matos
    Department of Restorative Dentistry, Tuiuti University of Parana, Padre Ladislau Kula, 395, Santo Inácio, Curitiba, Paraná 82010-210, Brazil. Electronic address: thalitamatos@live.com.
  • Kaliane Rodrigues da Cruz
    Department of Restorative Dentistry, Tuiuti University of Parana, Padre Ladislau Kula, 395, Santo Inácio, Curitiba, Paraná 82010-210, Brazil. Electronic address: krc.kaliane@gmail.com.
  • Aline Xavier Ferraz
    Postgraduate Program in Human Communication Health, Tuiuti University of Paraná, Curitiba, Paraná, Brazil.
  • Taynara de Souza Carneiro
    Department of Restorative Dentistry, School of Dentistry, State University of Ponta Grossa, PR, Brazil.
  • Alessandra Reis
    Department of Restorative Dentistry, State University of Ponta Grossa, Avenida Carlos Cavalcanti, 4748, Bloco M, Sala 04, Ponta Grossa, Paraná 84030-900, Brazil. Electronic address: reis_ale@hotmail.com.
  • Alessandro D Loguercio
    Department of Restorative Dentistry, State University of Ponta Grossa, Avenida Carlos Cavalcanti, 4748, Bloco M, Sala 04, Ponta Grossa, Paraná 84030-900, Brazil. Electronic address: aloguercio@hotmail.com.
  • Cristiano Miranda de Araujo
    Postgraduate Program in Human Communication Health, Tuiuti University of Paraná, Curitiba, Paraná, Brazil.

Keywords

External Resources

Popular Topics
Recent Journals