Logo image
Sign in
At-admission prediction of mortality and pulmonary embolism in an international cohort of hospitalised patients with COVID-19 using statistical and machine learning methods
Journal article   Open access   Peer reviewed

At-admission prediction of mortality and pulmonary embolism in an international cohort of hospitalised patients with COVID-19 using statistical and machine learning methods

Munib Mesinovic, Xin Ci Wong, Giri Shan Rajahram, Barbara Wanjiru Citarella, Kalaiarasu M. Peariasamy, Frank van Someren Greve, Piero Olliaro, Laura Merson, Lei Clifton, Christiana Kartsonaki, …
Scientific Reports, Vol.14(1)
2024

Abstract

Adult Aged Aged, 80 and over Cohort Studies COVID-19 Female Hospitalization Humans Machine Learning Male Middle Aged Pulmonary Embolism Risk Factors SARS-CoV-2 Spain United Kingdom adult aged cohort analysis complication coronavirus disease 2019 epidemiology female hospitalization human isolation and purification lung embolism machine learning male middle aged mortality risk factor Severe acute respiratory syndrome coronavirus 2 Spain United Kingdom very elderly
url
https://doi.org/10.1038/s41598-024-63212-7View
Published (Version of record) Open

Metrics

1 Record Views

Details

Logo image