Multimodal deep learning for COVID-19 prognosis prediction in the emergency department: a bi-centric study
Description
Predicting clinical deterioration in COVID-19 patients remains a challenging task in the Emergency Department (ED). To address this aim, we developed an artificial neural network using textual (e.g. patient history) and tabular (e.g. laboratory
