Decision trees are valuable in epidemiology for several reasons:
- Visual Representation: They provide a clear and visual representation of complex decision-making processes. - Simplifying Complexity: They simplify complex datasets and highlight the most important variables influencing outcomes. - Predictive Analysis: They can be used to predict health outcomes based on various risk factors. - Cost-Effectiveness: They help in evaluating the cost-effectiveness of different public health interventions.
