Prognostic models in COVID-19 infection that predict severity: a systematic review

C Buttia, E Llanaj, H Raeisi-Dehkordi, L Kastrati… - European journal of …, 2023 - Springer
Current evidence on COVID-19 prognostic models is inconsistent and clinical applicability
remains controversial. We performed a systematic review to summarize and critically …

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 …

Empirical study on classifiers for earlier prediction of COVID-19 infection cure and death rate in the Indian states

P Guleria, S Ahmed, A Alhumam, PN Srinivasu - Healthcare, 2022 - mdpi.com
Machine Learning methods can play a key role in predicting the spread of respiratory
infection with the help of predictive analytics. Machine Learning techniques help mine data …

Computational intelligence-based model for mortality rate prediction in COVID-19 patients

IU Khan, N Aslam, M Aljabri, SS Aljameel… - International journal of …, 2021 - mdpi.com
The COVID-19 outbreak is currently one of the biggest challenges facing countries around
the world. Millions of people have lost their lives due to COVID-19. Therefore, the accurate …

The accuracy of artificial intelligence in predicting COVID-19 patient mortality: a systematic review and meta-analysis

Y Xin, H Li, Y Zhou, Q Yang, W Mu, H Xiao… - BMC medical informatics …, 2023 - Springer
Background The purpose of this paper was to systematically evaluate the application value
of artificial intelligence in predicting mortality among COVID-19 patients. Methods The …

Prediction of prognosis in COVID-19 patients using machine learning: A systematic review and meta-analysis

R Chen, J Chen, S Yang, S Luo, Z Xiao, L Lu… - International Journal of …, 2023 - Elsevier
Background Accurate prediction of prognostic outcomes in patients with COVID-19 could
facilitate clinical decision-making and medical resource allocation. However, little is known …

Machine learning-based mortality prediction models for smoker COVID-19 patients

A Sharifi-Kia, A Nahvijou, A Sheikhtaheri - BMC Medical Informatics and …, 2023 - Springer
Background The large number of SARS-Cov-2 cases during the COVID-19 global pandemic
has burdened healthcare systems and created a shortage of resources and services. In …

Artificial intelligence-driven prediction of COVID-19-related hospitalization and death: a systematic review

S Shakibfar, F Nyberg, H Li, J Zhao… - Frontiers in Public …, 2023 - frontiersin.org
Aim To perform a systematic review on the use of Artificial Intelligence (AI) techniques for
predicting COVID-19 hospitalization and mortality using primary and secondary data …

Machine learning algorithms to predict in-hospital mortality in patients with traumatic brain injury

SD Hsu, E Chao, SJ Chen, DY Hueng, HY Lan… - Journal of Personalized …, 2021 - mdpi.com
Traumatic brain injury (TBI) can lead to severe adverse clinical outcomes, including death
and disability. Early detection of in-hospital mortality in high-risk populations may enable …

Classifying the mortality of people with underlying health conditions affected by COVID‐19 using machine learning techniques

R Mustafa A. Mohammad, M Aljabri… - … Intelligence and Soft …, 2022 - Wiley Online Library
The COVID‐19 pandemic has greatly affected populations worldwide and has posed a
significant challenge to medical systems. With the constant increase in the number of severe …