[HTML][HTML] A machine learning and explainable artificial intelligence triage-prediction system for COVID-19
COVID-19 is a respiratory disease caused by the SARS-CoV-2 contagion, severely
disrupted the healthcare infrastructure. Various countries have developed COVID-19 …
disrupted the healthcare infrastructure. Various countries have developed COVID-19 …
Machine learning algorithms for predicting SARS-CoV-2 (COVID-19)–a comparative analysis
LW Mary, SAA Raj - 2021 2nd International Conference on …, 2021 - ieeexplore.ieee.org
The new public health crisis threatens the entire world. The infectious virus SARS-CoV-2
(COVID-19) is a new virus that has spread rapidly across the world. Coronavirus spreads …
(COVID-19) is a new virus that has spread rapidly across the world. Coronavirus spreads …
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 …
A lime-based explainable machine learning model for predicting the severity level of covid-19 diagnosed patients
The fast and seemingly uncontrollable spread of the novel coronavirus disease (COVID-19)
poses great challenges to an already overloaded health system worldwide. It thus …
poses great challenges to an already overloaded health system worldwide. It thus …
[HTML][HTML] Supervised machine learning models for prediction of COVID-19 infection using epidemiology dataset
Abstract COVID-19 or 2019-nCoV is no longer pandemic but rather endemic, with more than
651,247 people around world having lost their lives after contracting the disease. Currently …
651,247 people around world having lost their lives after contracting the disease. Currently …
[HTML][HTML] Application of intelligence-based computational techniques for classification and early differential diagnosis of COVID-19 disease
BA Akinnuwesi, SG Fashoto, E Mbunge… - Data Science and …, 2021 - Elsevier
Clinical methods are used for diagnosing COVID-19 infected patients, but reports posit that,
several people who were initially tested positive of COVID-19, and who had some …
several people who were initially tested positive of COVID-19, and who had some …
[HTML][HTML] A deep learning approach for predicting severity of COVID-19 patients using a parsimonious set of laboratory markers
The SARS-CoV-2 virus has caused tremendous healthcare burden worldwide. Our focus
was to develop a practical and easy-to-deploy system to predict the severe manifestation of …
was to develop a practical and easy-to-deploy system to predict the severe manifestation of …
[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 …
Comparison of deep learning approaches to predict COVID-19 infection
TB Alakus, I Turkoglu - Chaos, Solitons & Fractals, 2020 - Elsevier
The SARS-CoV2 virus, which causes COVID-19 (coronavirus disease) has become a
pandemic and has expanded all over the world. Because of increasing number of cases day …
pandemic and has expanded all over the world. Because of increasing number of cases day …
Interpretable machine learning for covid-19: An empirical study on severity prediction task
The black-box nature of machine learning models hinders the deployment of some high-
accuracy medical diagnosis algorithms. It is risky to put one's life in the hands of models that …
accuracy medical diagnosis algorithms. It is risky to put one's life in the hands of models that …