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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...
Autores principales: | Sabetian, Golnar, Azimi, Aram, Kazemi, Azar, Hoseini, Benyamin, Asmarian, Naeimehossadat, Khaloo, Vahid, Zand, Farid, Masjedi, Mansoor, Shahriarirad, Reza, Shahriarirad, Sepehr |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Jaypee Brothers Medical Publishers
2022
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Materias: | |
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 |
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