[HTML][HTML] Early outcome detection for COVID-19 patients
With the outbreak of COVID-19 exerting a strong pressure on hospitals and health facilities,
clinical decision support systems based on predictive models can help to effectively improve …
clinical decision support systems based on predictive models can help to effectively improve …
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 …
[HTML][HTML] 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 …
[HTML][HTML] 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 …
[HTML][HTML] 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 …
[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 …
[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 …
[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 …
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 …
Machine Learning‐Based Model to Predict the Disease Severity and Outcome in COVID‐19 Patients
The novel coronavirus (COVID‐19) outbreak produced devastating effects on the global
economy and the health of entire communities. Although the COVID‐19 survival rate is high …
economy and the health of entire communities. Although the COVID‐19 survival rate is high …