[HTML][HTML] 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 …
of infection, there is an urgent need for early prediction of the severity of the disease in …
Deep‐learning artificial intelligence analysis of clinical variables predicts mortality in COVID‐19 patients
JS Zhu, P Ge, C Jiang, Y Zhang, X Li… - Journal of the …, 2020 - Wiley Online Library
Objective The large number of clinical variables associated with coronavirus disease 2019
(COVID‐19) infection makes it challenging for frontline physicians to effectively triage COVID …
(COVID‐19) infection makes it challenging for frontline physicians to effectively triage COVID …
Elaboración de modelos predictivos de la gravedad y la mortalidad en pacientes con COVID-19 que acuden al servicio de urgencias, incluida la radiografía torácica
P Calvillo-Batllés, L Cerdá-Alberich, C Fonfría-Esparcia… - Radiología, 2022 - Elsevier
Objetivos Desarrollar modelos de predicción de pronóstico para pacientes con COVID-19
que acuden a urgencias, basados en la radiografía de tórax inicial (RXT), parámetros …
que acuden a urgencias, basados en la radiografía de tórax inicial (RXT), parámetros …
Predicting mortality in SARS-COV-2 (COVID-19) positive patients in the inpatient setting using a novel deep neural network
Background The nextwave of COVID-19 pandemic is anticipated to be worse than the initial
one and will strain the healthcare systems even more during the winter months. Our aim was …
one and will strain the healthcare systems even more during the winter months. Our aim was …
[HTML][HTML] Utilization of machine-learning models to accurately predict the risk for critical COVID-19
Among patients with Coronavirus disease (COVID-19), the ability to identify patients at risk
for deterioration during their hospital stay is essential for effective patient allocation and …
for deterioration during their hospital stay is essential for effective patient allocation and …
[PDF][PDF] Predicting mortality risk in patients with covid-19 using artificial intelligence to help medical decision-making
P Mohammad, S Mahdi - … . org/content/medrxiv/early/2020/04 …, 2020 - covid-19.conacyt.mx
In the wake of COVID-19 disease, caused by the SARS-CoV-2 virus, we designed and
developed a predictive model based on Artificial Intelligence (AI) and Machine Learning …
developed a predictive model based on Artificial Intelligence (AI) and Machine Learning …
[HTML][HTML] Artificial Intelligence to Predict Mortality in Critically ill COVID-19 Patients Using Data from the First 24h: A Case Study from Lombardy Outbreak
Methods: this is a secondary analysis of prospectively collected data from Lombardy ICU
network. To predict survival at 7-, 14-and 28 days we built two different models; model A …
network. To predict survival at 7-, 14-and 28 days we built two different models; model A …
[HTML][HTML] COVID-19 Mortality Risk Prediction Model Using Machine Learning
AM Sánchez-Gálvez, S Sánchez-Gálvez… - Computación y …, 2023 - scielo.org.mx
The COVID-19 outbreak commenced in Wuhan, China, in December 2019 and swiftly
disseminated worldwide. On March 11, 2020, the World Health Organization (WHO) formally …
disseminated worldwide. On March 11, 2020, the World Health Organization (WHO) formally …
[HTML][HTML] A multipurpose machine learning approach to predict COVID-19 negative prognosis in São Paulo, Brazil
The new coronavirus disease (COVID-19) is a challenge for clinical decision-making and
the effective allocation of healthcare resources. An accurate prognostic assessment is …
the effective allocation of healthcare resources. An accurate prognostic assessment is …
[引用][C] 28-IMPORTANCIA DE PREDICTORES EN EL RIESGO DE HOSPITALIZACIÓN POR COVID-19: USO PRÁCTICO DE MACHINE LEARNING
RG Carretero, OV Gómez, BR Maya… - Revista Clínica …, 2023 - Elsevier