Identifying oral disease variables associated with pneumonia emergence by application of machine learning to integrated medical and dental big data to inform eHealth approaches

BACKGROUND: The objective of this study was to build models that define variables contributing to pneumonia risk by applying supervised Machine Learning-(ML) to medical and oral disease data to define key risk variables contributing to pneumonia emergence for any pneumonia/pneumonia subtypes. METHOD...

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Detalles Bibliográficos
Autores principales: Shimpi, Neel, Glurich, Ingrid, Panny, Aloksagar, Hegde, Harshad, Scannapieco, Frank A., Acharya, Amit
Formato: Online Artículo Texto
Lenguaje:English
Publicado: 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9835559/
https://www.ncbi.nlm.nih.gov/pubmed/36643095
http://dx.doi.org/10.3389/fdmed.2022.1005140

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9835559/
https://www.ncbi.nlm.nih.gov/pubmed/36643095
http://dx.doi.org/10.3389/fdmed.2022.1005140

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