Credit: Icahn School of Medicine at Mount Sinai
Individuals with coronary artery disease exist on a spectrum of disease, such as the amount of plaque build-up in the arteries of the heart; however, the disease is conventionally classified as broad categories of case (yes disease) or control (no disease), which may result in misdiagnosis. A digital marker for coronary artery disease derived from machine learning and electronic health records can better quantify where an individual falls on the disease spectrum.