Prediction of Patients with COVID-19 Requiring Intensive Care: A Cross-sectional Study Based on Machine-learning Approach from Iran

BACKGROUND: Prioritizing the patients requiring intensive care may decrease the fatality of coronavirus disease-2019 (COVID-19). AIMS AND OBJECTIVES: To develop, validate, and compare two models based on machine-learning methods for predicting patients with COVID-19 requiring intensive care. MATERIA...

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Detalles Bibliográficos
Autores principales: Sabetian, Golnar, Azimi, Aram, Kazemi, Azar, Hoseini, Benyamin, Asmarian, Naeimehossadat, Khaloo, Vahid, Zand, Farid, Masjedi, Mansoor, Shahriarirad, Reza, Shahriarirad, Sepehr
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Jaypee Brothers Medical Publishers 2022
Materias:
Original Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9237161/
https://www.ncbi.nlm.nih.gov/pubmed/35836646
http://dx.doi.org/10.5005/jp-journals-10071-24226

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9237161/
https://www.ncbi.nlm.nih.gov/pubmed/35836646
http://dx.doi.org/10.5005/jp-journals-10071-24226

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