A machine learning based exploration of COVID-19 mortality risk

Early prediction of patient mortality risks during a pandemic can decrease mortality by assuring efficient resource allocation and treatment planning. This study aimed to develop and compare prognosis prediction machine learning models based on invasive laboratory and noninvasive clinical and demogr...

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Detalles Bibliográficos
Autores principales: Mahdavi, Mahdi, Choubdar, Hadi, Zabeh, Erfan, Rieder, Michael, Safavi-Naeini, Safieddin, Jobbagy, Zsolt, Ghorbani, Amirata, Abedini, Atefeh, Kiani, Arda, Khanlarzadeh, Vida, Lashgari, Reza, Kamrani, Ehsan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2021
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8253432/
https://www.ncbi.nlm.nih.gov/pubmed/34214101
http://dx.doi.org/10.1371/journal.pone.0252384

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8253432/
https://www.ncbi.nlm.nih.gov/pubmed/34214101
http://dx.doi.org/10.1371/journal.pone.0252384

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