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 …
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 …
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 …
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 …
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 …
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 …
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 …