Predicting the COVID‐19 mortality among Iranian patients using tree‐based models: A cross‐sectional study

BACKGROUND AND AIMS: To explore the use of different machine learning models in prediction of COVID‐19 mortality in hospitalized patients. MATERIALS AND METHODS: A total of 44,112 patients from six academic hospitals who were admitted for COVID‐19 between March 2020 and August 2021 were included in...

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Detalles Bibliográficos
Autores principales: Aghakhani, Amirhossein, Shoshtarian Malak, Jaleh, Karimi, Zahra, Vosoughi, Fardis, Zeraati, Hojjat, Yekaninejad, Mir Saeed
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2023
Materias:
Original Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10200963/
https://www.ncbi.nlm.nih.gov/pubmed/37223657
http://dx.doi.org/10.1002/hsr2.1279

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10200963/
https://www.ncbi.nlm.nih.gov/pubmed/37223657
http://dx.doi.org/10.1002/hsr2.1279

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