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    ARTICLE

    Predicting the Need for ICU Admission in COVID-19 Patients Using XGBoost

    Mohamed Ezz1,2,*, Murtada K. Elbashir1,3, Hosameldeen Shabana4,5

    CMC-Computers, Materials & Continua, Vol.69, No.2, pp. 2077-2092, 2021, DOI:10.32604/cmc.2021.018155

    Abstract It is important to determine early on which patients require ICU admissions in managing COVID-19 especially when medical resources are limited. Delay in ICU admissions is associated with negative outcomes such as mortality and cost. Therefore, early identification of patients with a high risk of respiratory failure can prevent complications, enhance risk stratification, and improve the outcomes of severely-ill hospitalized patients. In this paper, we develop a model that uses the characteristics and information collected at the time of patients’ admissions and during their early period of hospitalization to accurately predict whether they will need… More >

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