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Figure 1

From: Generalizable machine learning approach for COVID-19 mortality risk prediction using on-admission clinical and laboratory features

Figure 1

Proposed deep neural network model structure and implementation (LASSO least absolute shrinkage and selection operator, DM diabetes, COPD chronic obstructive pulmonary disease, IHD ischemic heart disease, CVA cerebrovascular accident, CHF chronic heart failure, RA rheumatoid arthritis, GI gastrointestinal, LOC loss of consciousness, RR respiratory rate, Hb hemoglobin, WBC white blood cell, Neut neutrophil count, Cr creatinine, Mg magnesium, K potassium, INR international normalization ratio of prothrombin time, DNNL deep neural network, ICUL intensive care unit).

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