Uncovering clinical risk factors and prediction of severe COVID-19: A machine learning approach based on UK Biobank data
Background COVID-19 is a major public health concern. Given the extent of the pandemic, it
is urgent to identify risk factors associated with disease severity. Accurate prediction of those …
is urgent to identify risk factors associated with disease severity. Accurate prediction of those …
Deep learning methods to predict mortality in COVID-19 patients: a rapid scoping review
The ongoing COVID-19 pandemic has become the most impactful pandemic of the past
century. The SARS-CoV-2 virus has spread rapidly across the globe affecting and straining …
century. The SARS-CoV-2 virus has spread rapidly across the globe affecting and straining …
[HTML][HTML] External validation demonstrates limited clinical utility of the interpretable mortality prediction model for patients with COVID-19
Conclusion An interpretable mortality prediction model for patients with COVID-19 is a
worthwhile pursuit to help inform clinicians in the battle against this pandemic. We have …
worthwhile pursuit to help inform clinicians in the battle against this pandemic. We have …
Using machine learning to predict mortality for COVID-19 patients on day zero in the ICU
Rationale Given the expanding number of COVID-19 cases and the potential for upcoming
waves of infection, there is an urgent need for early prediction of the severity of the disease …
waves of infection, there is an urgent need for early prediction of the severity of the disease …
[HTML][HTML] Mortality prediction utilizing blood biomarkers to predict the severity of COVID-19 using machine learning technique
T Rahman, FA Al-Ishaq, FS Al-Mohannadi… - Diagnostics, 2021 - mdpi.com
Healthcare researchers have been working on mortality prediction for COVID-19 patients
with differing levels of severity. A rapid and reliable clinical evaluation of disease intensity …
with differing levels of severity. A rapid and reliable clinical evaluation of disease intensity …
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 …
COVID-19 prognostic model using Bayesian networks learnt on patient data
N Bernaola, C Bielza, P Larrañaga - medRxiv, 2022 - medrxiv.org
The response to the ongoing second wave of the COVID-19 pandemic can be helped by
giving medical professionals access to models learned on patient data. To achieve this, we …
giving medical professionals access to models learned on patient data. To achieve this, we …
[HTML][HTML] Prognostic model of COVID-19 severity and survival among hospitalized patients using machine learning techniques
I Lodato, AV Iyer, IZ To, ZY Lai, HSY Chan… - Diagnostics, 2022 - mdpi.com
We conducted a statistical study and developed a machine learning model to triage COVID-
19 patients affected during the height of the COVID-19 pandemic in Hong Kong based on …
19 patients affected during the height of the COVID-19 pandemic in Hong Kong based on …
[HTML][HTML] Prediction of COVID-19 deterioration in high-risk patients at diagnosis: an early warning score for advanced COVID-19 developed by machine learning
Purpose While more advanced COVID-19 necessitates medical interventions and
hospitalization, patients with mild COVID-19 do not require this. Identifying patients at risk of …
hospitalization, patients with mild COVID-19 do not require this. Identifying patients at risk of …
[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 …