Prediction of death status on the course of treatment in SARS-COV-2 patients with deep learning and machine learning methods
This study aims to evaluate the prediction performance of death status based on the demographic/clinical factors (including COVID-19 severity) by data mining methods. The accuracy rate of deep learning (97.15%) was more successful than the accuracy rate based on classical machine learning.

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