Process mining-driven analysis of COVID-19's impact on vaccination patterns.

Augusto, Adriano; Deitz, Timothy; Faux, Noel; Manski-Nankervis, Jo-Anne; Capurro, Daniel

Augusto, Adriano; Deitz, Timothy; Faux, Noel; Manski-Nankervis, Jo-Anne; Capurro, Daniel.

Afiliación

Augusto A; The University of Melbourne, Australia. Electronic address: a.augusto@unimelb.edu.au.
Deitz T; The University of Melbourne, Australia.
Faux N; The University of Melbourne, Australia.
Manski-Nankervis JA; The University of Melbourne, Australia.
Capurro D; The University of Melbourne, Australia.

J Biomed Inform ; 130: 104081, 2022 06.

Article en En | MEDLINE | ID: mdl-35525400

Asunto(s)

COVID-19; COVID-19/epidemiología; COVID-19/prevención & control; Control de Enfermedades Transmisibles; Minería de Datos/métodos; Humanos; Pandemias/prevención & control; Vacunación

Palabras clave

COVID19; Data analysis; Healthcare processes; Process mining; Vaccination

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Texto completo: 1 Base de datos: MEDLINE Asunto principal: COVID-19 Tipo de estudio: Prognostic_studies Idioma: En Revista: J Biomed Inform Asunto de la revista: INFORMATICA MEDICA Año: 2022 Tipo del documento: Article

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