The predictive accuracy of currently available machine learning tools ranges from 81 to 96%, based on parameters such as age, oxygen saturation, lactate dehydrogenase, urinary carbamide nitrogen, CRP, impaired kidney function, chronic kidney disease, medical history of coronary heart disease and chronic heart failure. Here, CRP is linked to coronary artery disorder.