Supervised classification is a type of machine learning technique where an algorithm is trained on a labeled dataset to make predictions or classify new, unseen data. In the context of epidemiology, supervised classification can be used to identify patterns and predict outcomes based on past data, such as predicting the spread of a disease, identifying risk factors, or classifying patient outcomes.
