Predict Mortality in Patients Infected with COVID-19 Virus Based on Observed Characteristics of the Patient using Logistic Regression

The spread of COVID-19 has made the world a mess. Up to this day, 5,235,452 cases confirmed worldwide with 338,612 death. One of the methods to predict mortality risk is machine learning algorithm using medical features, which means it takes time. Therefore, in this study, Logistic Regression is mod...

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Detalles Bibliográficos
Autores principales: Josephus, Bernhard O., Nawir, Ardianto H., Wijaya, Evelyn, Moniaga, Jurike V., Ohyver, Margaretha
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Author(s). Published by Elsevier B.V. 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7894086/
https://www.ncbi.nlm.nih.gov/pubmed/33643495
http://dx.doi.org/10.1016/j.procs.2021.01.076

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7894086/
https://www.ncbi.nlm.nih.gov/pubmed/33643495
http://dx.doi.org/10.1016/j.procs.2021.01.076

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