Cargando…
Machine learning approaches in COVID-19 diagnosis, mortality, and severity risk prediction: A review
The existence of widespread COVID-19 infections has prompted worldwide efforts to control and manage the virus, and hopefully curb it completely. One important line of research is the use of machine learning (ML) to understand and fight COVID-19. This is currently an active research field. Although...
Autores principales: | Alballa, Norah, Al-Turaiki, Isra |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
The Author(s). Published by Elsevier Ltd.
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8018906/ https://www.ncbi.nlm.nih.gov/pubmed/33842685 http://dx.doi.org/10.1016/j.imu.2021.100564 |
Ejemplares similares
-
Empirical Evaluation of Alternative Time-Series Models for COVID-19 Forecasting in Saudi Arabia
por: Al-Turaiki, Isra, et al.
Publicado: (2021) -
A deep learning approach to predict blood-brain barrier permeability
por: Alsenan, Shrooq, et al.
Publicado: (2021) -
Machine learning approaches in Covid-19 severity risk prediction in Morocco
por: Laatifi, Mariam, et al.
Publicado: (2022) -
Building predictive models for MERS-CoV infections using data mining techniques
por: Al-Turaiki, Isra, et al.
Publicado: (2016) -
A Convolutional Neural Network for Improved Anomaly-Based Network Intrusion Detection
por: Al-Turaiki, Isra, et al.
Publicado: (2021)