Risk factor assessments of temporomandibular disorders via machine learning

This study aimed to use artificial intelligence to determine whether biological and psychosocial factors, such as stress, socioeconomic status, and working conditions, were major risk factors for temporomandibular disorders (TMDs). Data were retrieved from the fourth Korea National Health and Nutrit...

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Detalles Bibliográficos
Autores principales: Lee, Kwang-Sig, Jha, Nayansi, Kim, Yoon-Ji
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8492627/
https://www.ncbi.nlm.nih.gov/pubmed/34611188
http://dx.doi.org/10.1038/s41598-021-98837-5

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8492627/
https://www.ncbi.nlm.nih.gov/pubmed/34611188
http://dx.doi.org/10.1038/s41598-021-98837-5

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