Using machine learning to create a decision tree model to predict outcomes of COVID-19 cases in the Philippines

OBJECTIVE: The aim of this study was to create a decision tree model with machine learning to predict the outcomes of COVID-19 cases from data publicly available in the Philippine Department of Health (DOH) COVID Data Drop. METHODS: The study design was a cross-sectional records review of the DOH CO...

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Detalles Bibliográficos
Autores principales: Migriño, Julius R., Batangan, Ani Regina U.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: World Health Organization 2021
Materias:
Covid-19
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8521127/
https://www.ncbi.nlm.nih.gov/pubmed/34703636
http://dx.doi.org/10.5365/wpsar.2021.12.3.831

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8521127/
https://www.ncbi.nlm.nih.gov/pubmed/34703636
http://dx.doi.org/10.5365/wpsar.2021.12.3.831

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