Feature engineering is the process of using domain knowledge to extract features (variables, attributes) from raw data that can enhance the performance of machine learning models. In epidemiology, this involves creating or modifying variables to better capture the underlying patterns of health-related events, such as the spread of a disease or the impact of an intervention.
