Cargando…
Smart Healthcare System for Severity Prediction and Critical Tasks Management of COVID-19 Patients in IoT-Fog Computing Environments
COVID-19 has depleted healthcare systems around the world. Extreme conditions must be defined as soon as possible so that services and treatment can be deployed and intensified. Many biomarkers are being investigated in order to track the patient's condition. Unfortunately, this may interfere w...
Autores principales: | Hameed Abdulkareem, Karrar, Awad Mutlag, Ammar, Musa Dinar, Ahmed, Frnda, Jaroslav, Abed Mohammed, Mazin, Hasan Zayr, Fawzi, Lakhan, Abdullah, Kadry, Seifedine, Ali Khattak, Hasan, Nedoma, Jan |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hindawi
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9297127/ https://www.ncbi.nlm.nih.gov/pubmed/35875731 http://dx.doi.org/10.1155/2022/5012962 |
Ejemplares similares
-
Smart-Contract Aware Ethereum and Client-Fog-Cloud Healthcare System
por: Lakhan, Abdullah, et al.
Publicado: (2021) -
Federated learning enables intelligent reflecting surface in fog-cloud enabled cellular network
por: Lakhan, Abdullah, et al.
Publicado: (2021) -
Multi-Agent Systems in Fog–Cloud Computing for Critical Healthcare Task Management Model (CHTM) Used for ECG Monitoring
por: Mutlag, Ammar Awad, et al.
Publicado: (2021) -
Multi-objectives reinforcement federated learning blockchain enabled Internet of things and Fog-Cloud infrastructure for transport data
por: Mohammed, Mazin Abed, et al.
Publicado: (2023) -
MAFC: Multi-Agent Fog Computing Model for Healthcare Critical Tasks Management
por: Mutlag, Ammar Awad, et al.
Publicado: (2020)