Why are Imbalanced Datasets Common in Epidemiology?
Imbalanced datasets are common in epidemiology because certain health conditions may be rare or occur only in specific populations. For example, rare diseases or new emerging infections might have very few cases compared to the general population. Additionally, conditions that have been largely eradicated or controlled through public health measures may also result in imbalanced datasets.