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

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. Retrospective data from 458 patients were analyzed, including variables such as the occurrence and inte...

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Veröffentlicht in:	Journal of dentistry 2024-12, Vol.153, p.105517, Article 105517
Hauptverfasser:	Favoreto, Michael Willian, Matos, Thalita de Paris, da Cruz, Kaliane Rodrigues, Ferraz, Aline Xavier, Carneiro, Taynara de Souza, Reis, Alessandra, Loguercio, Alessandro D., de Araujo, Cristiano Miranda
Format:	Artikel
Sprache:	eng
Schlagworte:	Artificial intelligence Machine learning Tooth bleaching
Online-Zugang:	Volltext
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