An example of a supervised learning algorithm is the creation of a model that predicts the likelihood of a medical condition based on a patient’s electronic health record. The model is trained on a labeled set of patient data, using factors such as symptoms, age, test results, preexisting conditions, and other factors. That allows the system to intake a patient’s data and identify what, if anything, might fit an undiagnosed medical condition and prompt a closer look.