Predicting in-Hospital Mortality of Patients with COVID-19 Using Machine Learning Techniques

The present work aims to identify the predictors of COVID-19 in-hospital mortality testing a set of Machine Learning Techniques (MLTs), comparing their ability to predict the outcome of interest. The model with the best performance will be used to identify in-hospital mortality predictors and to bui...

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Detalles Bibliográficos
Autores principales: Tezza, Fabiana, Lorenzoni, Giulia, Azzolina, Danila, Barbar, Sofia, Leone, Lucia Anna Carmela, Gregori, Dario
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8147079/
https://www.ncbi.nlm.nih.gov/pubmed/33923332
http://dx.doi.org/10.3390/jpm11050343

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8147079/
https://www.ncbi.nlm.nih.gov/pubmed/33923332
http://dx.doi.org/10.3390/jpm11050343

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