Decision support systems in clinical care and health services management were identified as crucial in the battle against the COVID-19 pandemic. Our main goal is to develop a model based on recurrent neural networks (RNN) which caters to the situation in hospitals during the pandemic. The model’s purpose is to generate daily predictions in a hospital setting which can be used as an early warning system and enable appropriate management of existing resources.
