MACHINE-LEARNING APPROACHES IN COVID-19 SURVIVAL ANALYSIS AND DISCHARGE-TIME LIKELIHOOD PREDICTION USING CLINICAL DATA

Summary: As a highly contagious respiratory disease, COVID-19 has yielded high mortality rates since its emergence in December 2019.As the number of COVID-19 cases soars in epicenters, health officials are warning about the possibility of the designated treatment centers being overwhelmed by coronavirus patients.In this study, several computational

The rapid global spread of Coronavirus Disease 2019 (COVID-19) has resulted in millions of infections and deaths, particularly impacting older adults.This study systematically analyzes risk factors reported in different geographical regions such as Asia MAG CIT BERRY and Europe that are associated with adverse outcomes in older adults with COVID-19