Cross-Validation of a Global Machine Learning Model to Predict COVID-19 Mortality
H Minhas, A Malik, D Kurtz, ZUA Fatiwala… - B57. CUTTING EDGE …, 2022 - atsjournals.org
Rationale: Coronavirus disease 2019 (COVID-19) has caused significant death worldwide
despite public health measures such as lockdowns and vaccinations. Intensive care units …
despite public health measures such as lockdowns and vaccinations. Intensive care units …
Predicting mortality in SARS-COV-2 (COVID-19) positive patients in the inpatient setting using a novel deep neural network
Background The nextwave of COVID-19 pandemic is anticipated to be worse than the initial
one and will strain the healthcare systems even more during the winter months. Our aim was …
one and will strain the healthcare systems even more during the winter months. Our aim was …
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 …
such as artificial intelligence (AI) had been introduced for mortality prediction of COVID-19 …
Multivariable mortality risk prediction using machine learning for COVID-19 patients at admission (AICOVID)
S Kar, R Chawla, SP Haranath, S Ramasubban… - Scientific reports, 2021 - nature.com
Abstract In Coronavirus disease 2019 (COVID-19), early identification of patients with a high
risk of mortality can significantly improve triage, bed allocation, timely management, and …
risk of mortality can significantly improve triage, bed allocation, timely management, and …
COVID mortality prediction with machine learning methods: a systematic review and critical appraisal
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 …
(COVID), and increasing deaths continue to occur. Minimizing the time required for resource …
Identifying predictors of COVID-19 mortality using machine learning
TK Wan, RX Huang, TW Tulu, JD Liu, A Vodencarevic… - Life, 2022 - mdpi.com
(1) Background: Coronavirus disease 2019 (COVID-19) is a dominant, rapidly spreading
respiratory disease. However, the factors influencing COVID-19 mortality still have not been …
respiratory disease. However, the factors influencing COVID-19 mortality still have not been …
COVID-19 mortality prediction among patients using epidemiological parameters: an ensemble machine learning approach
Abstract Coronavirus infection (COVID-19) is a dangerous disease caused by the severe
acute respiratory syndrome coronavirus 2 (SARS-CoV-2) that has quickly spread all around …
acute respiratory syndrome coronavirus 2 (SARS-CoV-2) that has quickly spread all around …
Predicting the mortality of patients with Covid‐19: A machine learning approach
Abstract Background and Aims Infection with Covid‐19 disease can lead to mortality in a
short time. Early prediction of the mortality during an epidemic disease can save patients' …
short time. Early prediction of the mortality during an epidemic disease can save patients' …
[HTML][HTML] Accuracy of machine learning models to predict mortality in COVID-19 infection using the clinical and laboratory data at the time of admission
Aim This study aimed to develop a predictive model to predict patients' mortality with
coronavirus disease 2019 (COVID-19) from the basic medical data on the first day of …
coronavirus disease 2019 (COVID-19) from the basic medical data on the first day of …
Risk factor analysis and multiple predictive machine learning models for mortality in COVID-19: A multicenter and multi-ethnic cohort study
Y Shi, Y Qin, Z Zheng, P Wang, J Liu - The Journal of Emergency Medicine, 2023 - Elsevier
Background The COVID-19 pandemic presents a significant challenge to the global health
care system. Implementing timely, accurate, and cost-effective screening approaches is …
care system. Implementing timely, accurate, and cost-effective screening approaches is …