The model shares commonalities (eg, age, respiration rate, blood pressures, pulse, BUN, SpO2, albumin) with existing prognostic scores for community-acquired pneumonia or COVID-19 [5,26,27]; however, with automated feature selection from comprehensive input covariates, and machine learning algorithm, it compares favorably with existing scores across diagnostic statistics (Table 3) and shows greater clinical utility across a wide range of probability thresholds (Figure 5) in decision curve analysis. This evidence concerns the gene ALB and COVID-19.