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 …
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 …
Machine Learning Approaches for Survival Prediction in Covid-19 Patients: A Comparative Analysis
MM Islam, MIR Shuvo - 2024 International Conference on …, 2024 - ieeexplore.ieee.org
The COVID-19 pandemic has underscored the significance of accurately predicting patient
survival in order to promptly administer efficient medical care. The augmentation of …
survival in order to promptly administer efficient medical care. The augmentation of …
[HTML][HTML] Machine learning based clinical decision support system for early COVID-19 mortality prediction
The coronavirus disease 2019 (COVID-19), caused by the virus SARS-CoV-2, is an acute
respiratory disease that has been classified as a pandemic by the World Health …
respiratory disease that has been classified as a pandemic by the World Health …
[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 …
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 …
Machine learning based COVID-19 mortality prediction using common patient data
COVID-19 was declared a pandemic in 2020, and it caused havoc worldwide. The fact that it
is unpredictable adds to its lethality. The world has already seen various COVID-19 infection …
is unpredictable adds to its lethality. The world has already seen various COVID-19 infection …
[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 …
[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 …
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 …