Machine learning approaches to identify patient comorbidities and symptoms that increased risk of mortality in COVID-19
Providing appropriate care for people suffering from COVID-19, the disease caused by the
pandemic SARS-CoV-2 virus, is a significant global challenge. Many individuals who …
pandemic SARS-CoV-2 virus, is a significant global challenge. Many individuals who …
Do not forget interaction: Predicting fatality of COVID-19 patients using logistic regression
Amid the ongoing COVID-19 pandemic, whether COVID-19 patients with high risks can be
recovered or not depends, to a large extent, on how early they will be treated appropriately …
recovered or not depends, to a large extent, on how early they will be treated appropriately …
Explainable artificial intelligence approaches for COVID-19 prognosis prediction using clinical markers
K Chadaga, S Prabhu, N Sampathila, R Chadaga… - Scientific Reports, 2024 - nature.com
The COVID-19 influenza emerged and proved to be fatal, causing millions of deaths
worldwide. Vaccines were eventually discovered, effectively preventing the severe …
worldwide. Vaccines were eventually discovered, effectively preventing the severe …
Cross-Validation of a Global Machine Learning Model to Predict COVID-19 Mortality
H Minhas, A Malik, D Kurtz, ZUA Fatiwala… - B57. CUTTING EDGE …, 2022 - atsjournals.org
Rationale: Coronavirus disease 2019 (COVID-19) has caused significant death worldwide
despite public health measures such as lockdowns and vaccinations. Intensive care units …
despite public health measures such as lockdowns and vaccinations. Intensive care units …
An early warning tool for predicting mortality risk of COVID-19 patients using machine learning
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 …
Fast, reliable, and early clinical assessment of the severity of the disease can help in …
Automated ML Techniques for Predicting COVID-19 Mortality in the ICU
A Sakagianni, C Koufopoulou, D Kalles… - … with Informatics and …, 2023 - ebooks.iospress.nl
The COVID-19 infection is still a serious threat to public health and healthcare systems.
Numerous practical machine learning applications have been investigated in this context to …
Numerous practical machine learning applications have been investigated in this context to …
[HTML][HTML] A machine learning approach for mortality prediction in COVID-19 pneumonia: development and evaluation of the Piacenza score
Background Several models have been developed to predict mortality in patients with
COVID-19 pneumonia, but only a few have demonstrated enough discriminatory capacity …
COVID-19 pneumonia, but only a few have demonstrated enough discriminatory capacity …
[PDF][PDF] Risk analysis of coronavirus caused death by the probability of patients suffering from chronic diseases–a machine learning perspective
V Kakulapati, SM Reddy - JCR, 2020 - researchgate.net
The entire world suffering from coronavirus, which declared COVID-19, and it triggered an
alarm. WHO (World Health Organization) was alerting the countries that this virus is quickly …
alarm. WHO (World Health Organization) was alerting the countries that this virus is quickly …
Which Features Are Useful in Machine Learning-Based COVID-19 Prognostication? A Meta-Analysis
COVID-19 brings devastating impacts on society and shows how fragile our current
healthcare system is. To aid the healthcare system, machine learning (ML) models have …
healthcare system is. To aid the healthcare system, machine learning (ML) models have …
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 …