Using Machine Learning to Predict Mortality for COVID-19 Patients on Day 0 in the ICU

• Autors principals: Elham Jamshidi (Autor), Amirhossein Asgary (Autor), Nader Tavakoli (Autor), Alireza Zali (Autor), Soroush Setareh (Autor), Hadi Esmaily (Autor), Seyed Hamid Jamaldini (Autor), Amir Daaee (Autor), Amirhesam Babajani (Autor), Mohammad Ali Sendani Kashi (Autor), Masoud Jamshidi (Autor), Sahand Jamal Rahi (Autor), Nahal Mansouri (Autor)
• Format: Llibre
• Publicat: Frontiers Media S.A., 2022-01-01T00:00:00Z.
• Matèries: article
• Accés en línia: Connect to this object online.

Rationale: Given the expanding number of COVID-19 cases and the potential for new waves of infection, there is an urgent need for early prediction of the severity of the disease in intensive care unit (ICU) patients to optimize treatment strategies.Objectives: Early prediction of mortality using mac...