Cargando…
Boosting the Performance of Artificial Intelligence-Driven Models in Predicting COVID-19 Mortality in Ethiopia
Like other nations around the world, Ethiopia has suffered negative effects from COVID-19. The objective of this study was to predict COVID-19 mortality using Artificial Intelligence (AI)-driven models. Two-year daily recorded data related to COVID-19 were trained and tested to predict mortality usi...
Autores principales: | Abegaz, Kedir Hussein, Etikan, İlker |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9955316/ https://www.ncbi.nlm.nih.gov/pubmed/36832146 http://dx.doi.org/10.3390/diagnostics13040658 |
Ejemplares similares
-
Artificial Intelligence-Driven Ensemble Model for Predicting Mortality Due to COVID-19 in East Africa
por: Abegaz, Kedir Hussein, et al.
Publicado: (2022) -
Artificial-Intelligence-Based Models Coupled with Correspondence Analysis Visualization on ART—Cases from Gombe State, Nigeria: A Comparative Study
por: Bala, Kabiru, et al.
Publicado: (2023) -
Framework for maternal morbidity and mortality interventions in Ethiopia: a systematic review protocol
por: Tadesse, Trhas, et al.
Publicado: (2023) -
Prediction Models for COVID-19 Mortality Using Artificial Intelligence
por: Kim, Dong-Kyu
Publicado: (2022) -
An Artificial-Intelligence-Driven Predictive Model for Surface Defect Detections in Medical MEMS
por: Amini, Amin, et al.
Publicado: (2021)