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

Shimpi, Neel; Glurich, Ingrid; Panny, Aloksagar; Hegde, Harshad; Scannapieco, Frank A; Acharya, Amit

Shimpi, Neel; Glurich, Ingrid; Panny, Aloksagar; Hegde, Harshad; Scannapieco, Frank A; Acharya, Amit.

Afiliación

Shimpi N; Center for Clinical Epidemiology and Population Health, Marshfield Clinic Research Institute, Marshfield, WI, United States.
Glurich I; Cancer Care and Research Center, Marshfield Clinic Research Institute, Marshfield, WI, United States.
Panny A; Security Health Plan, Marshfield Clinic Health System, Marshfield, WI, United States.
Hegde H; Berkeley Bioinformatics Open-source Projects, Lawrence Berkeley National Laboratory, Berkeley, CA, United States.
Scannapieco FA; Department of Oral Biology, School of Dental Medicine, University at Buffalo, Buffalo, NY, United States.
Acharya A; Advocate Aurora Research Institute, Advocate Aurora Health, Chicago, IL, United States.

Front Dent Med ; 32022.

Article en En | MEDLINE | ID: mdl-36643095

Palabras clave

data mining; decision support tools; eHealth; electronic health records (EHR); health information system (HIS); information storage and retrieval; medical-dental integration; pneumonia

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Texto completo: 1 Bases de datos: MEDLINE Tipo de estudio: Prognostic_studies / Risk_factors_studies Idioma: En Revista: Front Dent Med Año: 2022 Tipo del documento: Article País de afiliación: Estados Unidos

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