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

• Auteurs principaux: Neel Shimpi (Auteur), Ingrid Glurich (Auteur), Aloksagar Panny (Auteur), Harshad Hegde (Auteur), Frank A. Scannapieco (Auteur), Amit Acharya (Auteur)
• Format: Livre
• Publié: Frontiers Media S.A., 2022-09-01T00:00:00Z.
• Sujets: article
• Accès en ligne: Connect to this object online.

BackgroundThe 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.MethodsRe...