Predicting thromboembolic complications in COVID-19 ICU patients using machine learning

BACKGROUND: The coronavirus disease 2019 (COVID-19) pandemic is a challenge for intensive care units (ICU) in part due to the failure to identify risks for patients early and the inability to render an accurate prognosis. Previous reports suggest a strong association between hypercoagulability and p...

Descripción completa

Detalles Bibliográficos
Autores principales: van de Sande, Davy, van Genderen, Michel E., Rosman, Babette, Diether, Maren, Endeman, Henrik, van den Akker, Johannes P. C., Ludwig, Martijn, Huiskens, Joost, Gommers, Diederik, van Bommel, Jasper
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Whioce Publishing Pte. Ltd. 2020
Materias:
Original Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7821745/
https://www.ncbi.nlm.nih.gov/pubmed/33501388

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7821745/
https://www.ncbi.nlm.nih.gov/pubmed/33501388

Ejemplares similares