How Do Machine Learning Models Work in Epidemiology?
Machine learning models in epidemiology use algorithms to learn from data without explicit programming. These models can identify complex patterns and relationships within epidemiological data, helping to predict disease trends and outcomes. This includes supervised learning for classification tasks, such as identifying disease presence, and unsupervised learning for clustering similar cases.
