Journal article
At-admission prediction of mortality and pulmonary embolism in an international cohort of hospitalised patients with COVID-19 using statistical and machine learning methods
Abstract
By September 2022, more than 600 million cases of SARS-CoV-2 infection have been reported globally, resulting in over 6.5 million deaths. COVID-19 mortality risk estimators are often, however, developed with small unrepresentative samples and with methodological limitations. It is highly important to develop predictive tools for pulmonary embolism (PE) in COVID-19 patients as one of the most severe preventable complications of COVID-19. Early …
Authors
Mesinovic M; Wong XC; Rajahram GS; Citarella BW; Peariasamy KM; van Someren Greve F; Olliaro P; Merson L; Clifton L; Kartsonaki C
Journal
Scientific Reports, Vol. 14, No. 1, 
Publisher
Springer Nature
DOI
10.1038/s41598-024-63212-7
ISSN
2045-2322