Alternatively, using an XGBoost algorithm, scientists also constructed an ML model for COVID-19 diagnosis based on routine blood parameters including eosinophil count, mean corpuscular hemoglobin concentration (MCHC), albumin, international normalized ratio (INR) and prothrombin activity percentage, and they proposed this model as a diagnostic tool in the clinic [84]. The gene discussed is F2; the disease is COVID-19.