Early outcome detection for COVID-19 patients
Abstract With the outbreak of COVID-19 exerting a strong pressure on hospitals and health facilities, clinical decision support systems based on predictive models can help to effectively improve the management of the pandemic. We present a method for predicting mortality for COVID-19 patients. Start...
Guardado en:
Autores principales: | Alina Sîrbu, Greta Barbieri, Francesco Faita, Paolo Ferragina, Luna Gargani, Lorenzo Ghiadoni, Corrado Priami |
---|---|
Formato: | article |
Lenguaje: | EN |
Publicado: |
Nature Portfolio
2021
|
Materias: | |
Acceso en línea: | https://doaj.org/article/34716b8d4543467a9ae9c449c07676a4 |
Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
-
The relationship between cardiac injury, inflammation and coagulation in predicting COVID-19 outcome
por: Alessandro Mengozzi, et al.
Publicado: (2021) -
Budget constrained machine learning for early prediction of adverse outcomes for COVID-19 patients
por: Sam Nguyen, et al.
Publicado: (2021) -
Soluble Urokinase Receptor as a Promising Marker for Early Prediction of Outcome in COVID-19 Hospitalized Patients
por: Filomena Napolitano, et al.
Publicado: (2021) -
Noninvasive Detection of Respiratory Disorder Due to COVID-19 at the Early Stages in Saudi Arabia
por: Wadii Boulila, et al.
Publicado: (2021) -
MR-proADM as prognostic factor of outcome in COVID-19 patients
por: Emanuela Sozio, et al.
Publicado: (2021)