[HTML][HTML] Machine learning approaches in COVID-19 diagnosis, mortality, and severity risk prediction: A review

N Alballa, I Al-Turaiki - Informatics in medicine unlocked, 2021 - Elsevier
The existence of widespread COVID-19 infections has prompted worldwide efforts to control
and manage the virus, and hopefully curb it completely. One important line of research is the …

[HTML][HTML] Machine learning research towards combating COVID-19: Virus detection, spread prevention, and medical assistance

O Shahid, M Nasajpour, S Pouriyeh, RM Parizi… - Journal of Biomedical …, 2021 - Elsevier
COVID-19 was first discovered in December 2019 and has continued to rapidly spread
across countries worldwide infecting thousands and millions of people. The virus is deadly …

A review of the machine learning algorithms for COVID-19 case analysis

S Tiwari, P Chanak, SK Singh - IEEE Transactions on Artificial …, 2022 - ieeexplore.ieee.org
The purpose of this article is to see how machine learning (ML) algorithms and applications
are used in the COVID-19 inquiry and for other purposes. The available traditional methods …

[HTML][HTML] Machine learning-based research for COVID-19 detection, diagnosis, and prediction: A survey

Y Meraihi, AB Gabis, S Mirjalili, A Ramdane-Cherif… - SN computer …, 2022 - Springer
The year 2020 experienced an unprecedented pandemic called COVID-19, which impacted
the whole world. The absence of treatment has motivated research in all fields to deal with it …

[HTML][HTML] Comparing machine learning algorithms to predict COVID‑19 mortality using a dataset including chest computed tomography severity score data

SS Zakariaee, N Naderi, M Ebrahimi… - Scientific reports, 2023 - nature.com
Since the beginning of the COVID-19 pandemic, new and non-invasive digital technologies
such as artificial intelligence (AI) had been introduced for mortality prediction of COVID-19 …

Personalized predictive models for symptomatic COVID-19 patients using basic preconditions: hospitalizations, mortality, and the need for an ICU or ventilator

S Wollenstein-Betech, CG Cassandras… - International Journal of …, 2020 - Elsevier
Background The rapid global spread of the SARS-CoV-2 virus has provoked a spike in
demand for hospital care. Hospital systems across the world have been over-extended …

[HTML][HTML] Comparing machine learning algorithms for predicting COVID-19 mortality

K Moulaei, M Shanbehzadeh… - BMC medical informatics …, 2022 - Springer
Background The coronavirus disease (COVID-19) hospitalized patients are always at risk of
death. Machine learning (ML) algorithms can be used as a potential solution for predicting …

[HTML][HTML] COVID mortality prediction with machine learning methods: a systematic review and critical appraisal

F Bottino, E Tagliente, L Pasquini, AD Napoli… - Journal of personalized …, 2021 - mdpi.com
More than a year has passed since the report of the first case of coronavirus disease 2019
(COVID), and increasing deaths continue to occur. Minimizing the time required for resource …

[HTML][HTML] A comparison of machine learning algorithms in predicting COVID-19 prognostics

S Ustebay, A Sarmis, GK Kaya, M Sujan - Internal and Emergency …, 2023 - Springer
ML algorithms are used to develop prognostic and diagnostic models and so to support
clinical decision-making. This study uses eight supervised ML algorithms to predict the need …

[HTML][HTML] Machine learning based clinical decision support system for early COVID-19 mortality prediction

A Karthikeyan, A Garg, PK Vinod… - Frontiers in public …, 2021 - frontiersin.org
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 …