A machine learning model for orthodontic extraction/non-extraction decision in a racially and ethnically diverse patient population.

Mason, Taylor; Kelly, Kynnedy M; Eckert, George; Dean, Jeffrey A; Dundar, M Murat; Turkkahraman, Hakan

Mason, Taylor; Kelly, Kynnedy M; Eckert, George; Dean, Jeffrey A; Dundar, M Murat; Turkkahraman, Hakan.

Afiliação

Mason T; Department of Orthodontics and Oral Facial Genetics, Indiana University School of Dentistry, Indianapolis, IN, US.
Kelly KM; Indiana University School of Dentistry, Indianapolis, IN, US.
Eckert G; Department of Biostatistics and Health Data Science, Indianapolis, Indiana University School of Medicine, IN, US.
Dean JA; Department of Pediatric Dentistry, Indiana University School of Dentistry, Indianapolis, IN, US.
Dundar MM; Department of Computer & Information Science, Indiana University Purdue University at Indianapolis, School of Science, Indianapolis, IN, US.
Turkkahraman H; Department of Orthodontics and Oral Facial Genetics, Indiana University School of Dentistry, Indianapolis, IN, US. Electronic address: haturk@iu.edu.

Int Orthod ; 21(3): 100759, 2023 09.

Article em En | MEDLINE | ID: mdl-37196482

Assuntos

Algoritmos; Aprendizado de Máquina; Humanos; Algoritmo Florestas Aleatórias; Área Sob a Curva; Modelos Logísticos

Palavras-chave

Artificial intelligence; Clinical Decision-Making; Machine learning; Orthodontics; Tooth Extraction

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Algoritmos / Aprendizado de Máquina Tipo de estudo: Prognostic_studies / Risk_factors_studies Limite: Humans Idioma: En Revista: Int Orthod Assunto da revista: ORTODONTIA Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Estados Unidos

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