Machine learning algorithms application in COVID-19 disease: a systematic literature review and future directions
Since November 2019, the COVID-19 Pandemic produced by Severe Acute Respiratory Syndrome Severe Coronavirus 2 (hereafter COVID-19) has caused approximately seven million deaths globally. Several studies have been conducted using technological tools to prevent infection, to prevent spread, to detect,...
- Autores:
-
Salcedo, Dixon
Guerrero Santander, Cesar Dario
Saeed, Khalid
Mardini, Johan
Calderón-Benavides, Liliana
Henríquez, Carlos
Mendoza, Andrés
- Tipo de recurso:
- Review article
- Fecha de publicación:
- 2022
- Institución:
- Corporación Universidad de la Costa
- Repositorio:
- REDICUC - Repositorio CUC
- Idioma:
- eng
- OAI Identifier:
- oai:repositorio.cuc.edu.co:11323/10139
- Acceso en línea:
- https://hdl.handle.net/11323/10139
https://repositorio.cuc.edu.co/
- Palabra clave:
- COVID-19
Machine learning
Prediction algorithms
Mortality prediction
- Rights
- openAccess
- License
- Atribución 4.0 Internacional (CC BY 4.0)