Systematic comparison of machine learning algorithms to develop and validate predictive models for periodontitis

AIM: The aim of this study was to compare the validity of different machine learning algorithms to develop and validate predictive models for periodontitis. MATERIALS AND METHODS: Using national survey data from Taiwan (n = 3453) and the United States (n = 3685), predictors of periodontitis were ext...

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Detalles Bibliográficos
Autores principales: Bashir, Nasir Z., Rahman, Zahid, Chen, Sam Li‐Sheng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Blackwell Publishing Ltd 2022
Materias:
Diagnosis, Epidemiology and Associated Co‐morbidities
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9796669/
https://www.ncbi.nlm.nih.gov/pubmed/35781722
http://dx.doi.org/10.1111/jcpe.13692

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9796669/
https://www.ncbi.nlm.nih.gov/pubmed/35781722
http://dx.doi.org/10.1111/jcpe.13692

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