CRP and COVID-19: For example, a machine learning-based XGBoost model has been developed to predict patient mortality rates more than 10 days in advance with an accuracy of about 90%, using three biomarkers as main indicators for predicting COVID-19 prognosis, lactate dehydrogenase (LDH), high-sensitivity C-reactive protein (hs-CRP), and lymphocyte count17.