Prediction of respiratory decompensation in Covid-19 patients using machine learning: The READY trial

BACKGROUND: Currently, physicians are limited in their ability to provide an accurate prognosis for COVID-19 positive patients. Existing scoring systems have been ineffective for identifying patient decompensation. Machine learning (ML) may offer an alternative strategy. A prospectively validated me...

Descripción completa

Detalles Bibliográficos
Autores principales: Burdick, Hoyt, Lam, Carson, Mataraso, Samson, Siefkas, Anna, Braden, Gregory, Dellinger, R. Phillip, McCoy, Andrea, Vincent, Jean-Louis, Green-Saxena, Abigail, Barnes, Gina, Hoffman, Jana, Calvert, Jacob, Pellegrini, Emily, Das, Ritankar
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Authors. Published by Elsevier Ltd. 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7410013/
https://www.ncbi.nlm.nih.gov/pubmed/32798922
http://dx.doi.org/10.1016/j.compbiomed.2020.103949

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7410013/
https://www.ncbi.nlm.nih.gov/pubmed/32798922
http://dx.doi.org/10.1016/j.compbiomed.2020.103949

Ejemplares similares