Covid-19 Patients' Hospital Occupancy Prediction During the Recent Omicron Wave via some Recurrent Deep Learning Architectures.
Heni BouhamedMonia HamdiRahma GargouriPublished in: Int. J. Comput. Commun. Control (2022)
Keyphrases
- deep learning
- prognostic models
- high risk
- unsupervised learning
- emergency department
- patient groups
- unsupervised feature learning
- patient records
- machine learning
- intensive care unit
- hospital information systems
- mental models
- medical doctors
- weakly supervised
- intensive care
- vital signs
- health care
- patient data
- deep architectures
- learning strategies
- decision makers