[HTML][HTML] Machine-learning-derived predictive score for early estimation of COVID-19 mortality risk in hospitalized patients

A González-Cebrián, J Borràs-Ferrís… - PLoS …, 2022 - journals.plos.org
The clinical course of COVID-19 is highly variable. It is therefore essential to predict as early
and accurately as possible the severity level of the disease in a COVID-19 patient who is …

[PDF][PDF] Predicción del riesgo de muerte por COVID-19 con Machine Learning

VDG Vera, CQ López - researchgate.net
La llegada de la tercera ola y el surgimiento de nuevas variantes del COVID-19 a nivel
mundial han llevado al colapso de las UCI de diversas clínicas y hospitales. A pesar de que …

[HTML][HTML] Comparing machine learning algorithms for predicting COVID-19 mortality

K Moulaei, M Shanbehzadeh… - BMC medical informatics …, 2022 - Springer
Background The coronavirus disease (COVID-19) hospitalized patients are always at risk of
death. Machine learning (ML) algorithms can be used as a potential solution for predicting …

[HTML][HTML] An individualized algorithm to predict mortality in COVID-19 pneumonia: a machine learning based study

ME Laino, E Generali, T Tommasini… - Archives of Medical …, 2022 - ncbi.nlm.nih.gov
Results 1,135 consecutive patients (median age 70 years, 64% male) were enrolled, 48
patients were excluded, and the cohort was randomly divided into training (760) and test …

[HTML][HTML] Unveiling the future of COVID-19 patient care: groundbreaking prediction models for severe outcomes or mortality in hospitalized cases

NTK Hien, FJ Tsai, YH Chang, W Burton… - Frontiers in …, 2024 - frontiersin.org
Background Previous studies have identified COVID-19 risk factors, such as age and
chronic health conditions, linked to severe outcomes and mortality. However, accurately …

[引用][C] Predicting Mortality Risk in Patients with COVID-19 Using Artificial Intelligence to help Medical Decision-Making

P Mohammad, S Mahdi - Preprints arXiv, 2020

[引用][C] Prognostic assessment of COVID-19 in ICU by machine learning methods: a retrospective study

P Pan, Y Li, Y Xiao, B Han, M Su, Y Li, S Zhang… - Journal of medical Internet …, 2020

[HTML][HTML] An early warning tool for predicting mortality risk of COVID-19 patients using machine learning

MEH Chowdhury, T Rahman, A Khandakar… - Cognitive …, 2021 - Springer
COVID-19 pandemic has created an extreme pressure on the global healthcare services.
Fast, reliable, and early clinical assessment of the severity of the disease can help in …

[HTML][HTML] Early prediction model for critical illness of hospitalized COVID-19 patients based on machine learning techniques

Y Fu, W Zhong, T Liu, J Li, K Xiao, X Ma, L Xie… - Frontiers in Public …, 2022 - frontiersin.org
Motivation Patients with novel coronavirus disease 2019 (COVID-19) worsen into critical
illness suddenly is a matter of great concern. Early identification and effective triaging of …

[HTML][HTML] COVID-19 ICU mortality prediction: a machine learning approach using SuperLearner algorithm

G Lorenzoni, N Sella, A Boscolo, D Azzolina… - Journal of Anesthesia …, 2021 - Springer
Background Since the beginning of coronavirus disease 2019 (COVID-19), the development
of predictive models has sparked relevant interest due to the initial lack of knowledge about …