Imbalanced data poses several challenges in epidemiological research, impacting the accuracy and reliability of models. When data is skewed, models might become biased towards the majority class, potentially overlooking critical patterns associated with the minority class. This can lead to poor predictive performance, misdiagnosis, and suboptimal resource allocation for public health interventions.
