Developing and testing a prediction model for periodontal disease using machine learning and big electronic dental record data

Despite advances in periodontal disease (PD) research and periodontal treatments, 42% of the US population suffer from periodontitis. PD can be prevented if high-risk patients are identified early to provide preventive care. Prediction models can help assess risk for PD before initiation and progres...

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Detalles Bibliográficos
Autores principales: Patel, Jay S., Su, Chang, Tellez, Marisol, Albandar, Jasim M., Rao, Rishi, Iyer, Vishnu, Shi, Evan, Wu, Huanmei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Artificial Intelligence
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9608121/
https://www.ncbi.nlm.nih.gov/pubmed/36311550
http://dx.doi.org/10.3389/frai.2022.979525

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9608121/
https://www.ncbi.nlm.nih.gov/pubmed/36311550
http://dx.doi.org/10.3389/frai.2022.979525

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