Using Machine Learning to Predict Mortality for COVID-19 Patients on Day 0 in the ICU
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...
Main Authors: | Elham Jamshidi, Amirhossein Asgary, Nader Tavakoli, Alireza Zali, Soroush Setareh, Hadi Esmaily, Seyed Hamid Jamaldini, Amir Daaee, Amirhesam Babajani, Mohammad Ali Sendani Kashi, Masoud Jamshidi, Sahand Jamal Rahi, Nahal Mansouri |
---|---|
Format: | Article |
Language: | English |
Published: |
Frontiers Media S.A.
2022-01-01
|
Series: | Frontiers in Digital Health |
Subjects: | |
Online Access: | https://www.frontiersin.org/articles/10.3389/fdgth.2021.681608/full |
Similar Items
-
Symptom Prediction and Mortality Risk Calculation for COVID-19 Using Machine Learning
by: Elham Jamshidi, et al.
Published: (2021-06-01) -
Longevity of immunity following COVID-19 vaccination: a comprehensive review of the currently approved vaccines
by: Elham Jamshidi, et al.
Published: (2022-11-01) -
Personalized predictions of adverse side effects of the COVID-19 vaccines
by: Elham Jamshidi, et al.
Published: (2023-01-01) -
Disinfection of ICU Room: Using the New Technologies for Diagnosis and Decontamination of Infections
by: Mostafa Mohammadi, et al.
Published: (2016-04-01) -
Plasmapheresis in the ICU
by: Guleid Hussein, et al.
Published: (2023-12-01)