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Application of machine learning models based on decision trees in classifying the factors affecting mortality of COVID-19 patients in Hamadan, Iran

BACKGROUND: Due to the high mortality of COVID-19 patients, the use of a high-precision classification model of patient’s mortality that is also interpretable, could help reduce mortality and take appropriate action urgently. In this study, the random forest method was used to select the effective f...

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Detalles Bibliográficos
Autores principales: Moslehi, Samad, Rabiei, Niloofar, Soltanian, Ali Reza, Mamani, Mojgan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9308952/
https://www.ncbi.nlm.nih.gov/pubmed/35871639
http://dx.doi.org/10.1186/s12911-022-01939-x

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