Optimal Prognostic Accuracy: Machine Learning Approaches for COVID-19 Prognosis with Biomarkers and Demographic Information
The global emergence of the unprecedented COVID-19 pandemic in late 2019 has led to
millions of infections and thousands of fatalities, profoundly affecting various aspects of life …
millions of infections and thousands of fatalities, profoundly affecting various aspects of life …
Using automated-machine learning to predict COVID-19 patient survival: identify influential biomarkers
Background In a pandemic, it is important for clinicians to stratify patients and decide who
receives limited medical resources. In this study, we used automated machine learning …
receives limited medical resources. In this study, we used automated machine learning …
Dynamic Prognosis Model for Predicting Survival in Severe and Critically Ill COVID-19 Patients Using Machine Learning
Y Wei, J He, J Chen, Y Zhu, J Chen, J Ding, H Wang… - 2020 - researchsquare.com
Background Novel coronavirus disease (COVID-19) is an emerging, rapidly evolving
situation. At present, the prognosis of severe and critically ill patients has become an …
situation. At present, the prognosis of severe and critically ill patients has become an …
Prognostic machine learning models for COVID‐19 to facilitate decision making
An increasing number of COVID‐19 cases worldwide has overwhelmed the healthcare
system. Physicians are struggling to allocate resources and to focus their attention on high …
system. Physicians are struggling to allocate resources and to focus their attention on high …
A Tripartite Machine Learning Approach for Accurate Prognosis of COVID-19 Patient Survival
F Aziz - Journal Medical Informatics Technology, 2023 - medinftech.org
Accurate prognosis of COVID-19 patient survival is vital for healthcare decision-making. This
research proposes a tripartite machine learning approach that integrates K-Nearest …
research proposes a tripartite machine learning approach that integrates K-Nearest …
[HTML][HTML] A machine learning-based model for survival prediction in patients with severe COVID-19 infection
L Yan, H Zhang, J Goncalves, Y Xiao, M Wang, Y Guo… - 2020 - europepmc.org
The sudden increase of COVID-19 cases is putting a high pressure on healthcare services
worldwide. At the current stage, fast, accurate and early clinical assessment of the disease …
worldwide. At the current stage, fast, accurate and early clinical assessment of the disease …
[HTML][HTML] COVID-19 prognostic models: a pro-con debate for machine learning vs. traditional statistics
The SARS-CoV-2 virus causing the COVID-19 pandemic has had an unprecedented impact
on healthcare requiring multi-disciplinary innovation and novel thinking to minimise impact …
on healthcare requiring multi-disciplinary innovation and novel thinking to minimise impact …
Machine-learning models for predicting survivability in COVID-19 patients
ID Acheme, OR Vincent - Data Science for COVID-19, 2021 - Elsevier
COVID-19 is a disease currently ravaging the world, bringing unprecedented health and
economic challenges to several nations. There are presently close to five million reported …
economic challenges to several nations. There are presently close to five million reported …
An interpretable mortality prediction model for COVID-19 patients
The sudden increase in COVID-19 cases is putting high pressure on healthcare services
worldwide. At this stage, fast, accurate and early clinical assessment of the disease severity …
worldwide. At this stage, fast, accurate and early clinical assessment of the disease severity …
[HTML][HTML] Predicting mortality risk in patients with COVID-19 using machine learning to help medical decision-making
M Pourhomayoun, M Shakibi - Smart health, 2021 - Elsevier
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 …