During COVID‐19 pandemic, artificial neural network (ANN) systems have been providing aid for clinical decisions. However, to achieve optimal results, these models should link multiple clinical data points to simple… Click to show full abstract
During COVID‐19 pandemic, artificial neural network (ANN) systems have been providing aid for clinical decisions. However, to achieve optimal results, these models should link multiple clinical data points to simple models. This study aimed to model the in‐hospital mortality and mechanical ventilation risk using a two step approach combining clinical variables and ANN‐analyzed lung inflammation data.
               
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