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...
- Autores:
- Tipo de recurso:
- Article of investigation
- Fecha de publicación:
- 2020
- Institución:
- Universidad de Bogotá Jorge Tadeo Lozano
- Repositorio:
- Expeditio: repositorio UTadeo
- Idioma:
- eng
- OAI Identifier:
- oai:expeditiorepositorio.utadeo.edu.co:20.500.12010/13805
- Acceso en línea:
- https://doi.org/10.1016/j.compbiomed.2020.103949
http://hdl.handle.net/20.500.12010/13805
- Palabra clave:
- Machine learning
COVID-19
Mechanical ventilation
Prediction
Síndrome respiratorio agudo grave
COVID-19
SARS-CoV-2
Coronavirus
- Rights
- License
- Abierto (Texto Completo)