GAMs in Healthcare

Generalized Additive Models (GAMs) are a type of statistical tool used in healthcare to analyze and understand complex relationships between various factors and health outcomes. Unlike simple models, GAMs can capture non-linear patterns—meaning they can identify how changes in variables like age, blood pressure, or lifestyle affect health risks in more flexible ways. This helps researchers and doctors better predict disease risks, tailor treatments, and improve patient care by providing a clearer picture of how different factors interact over time or across populations.