Cargando…
Detection of COVID-19 severity using blood gas analysis parameters and Harris hawks optimized extreme learning machine
Coronavirus disease-2019 (COVID-19) has made the world more cautious about widespread viruses, and a tragic pandemic that was caused by a novel coronavirus has harmed human beings in recent years. The new coronavirus pneumonia outbreak is spreading rapidly worldwide. We collect arterial blood sample...
Autores principales: | Hu, Jiao, Han, zhengyuan, Heidari, Ali Asghar, Shou, Yeqi, Ye, Hua, Wang, Liangxing, Huang, Xiaoying, Chen, Huiling, Chen, Yanfan, Wu, Peiliang |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier Ltd.
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8701842/ https://www.ncbi.nlm.nih.gov/pubmed/35077935 http://dx.doi.org/10.1016/j.compbiomed.2021.105166 |
Ejemplares similares
-
Hierarchical Harris hawks optimizer for feature selection
por: Peng, Lemin, et al.
Publicado: (2023) -
A new machine learning model for predicting severity prognosis in patients with pulmonary embolism: Study protocol from Wenzhou, China
por: Su, Hang, et al.
Publicado: (2022) -
Detection of pulmonary embolism severity using clinical characteristics, hematological indices, and machine learning techniques
por: Su, Hang, et al.
Publicado: (2022) -
Fireworks explosion boosted Harris Hawks optimization for numerical optimization: Case of classifying the severity of COVID-19
por: Wang, Mingjing, et al.
Publicado: (2023) -
Multi-strategy Gaussian Harris hawks optimization for fatigue life of tapered roller bearings
por: Abbasi, Ahmad, et al.
Publicado: (2021)