What Are Some Real-World Examples in Epidemiology?
1. Rare Diseases: Studies on rare diseases like Cystic Fibrosis often face imbalanced data since the prevalence of the disease is low compared to the general population. 2. Outbreak Prediction: Predicting outbreaks of diseases like Ebola can be challenging due to the infrequent occurrence of such events, leading to imbalanced datasets. 3. Adverse Drug Reactions: Monitoring and predicting adverse drug reactions often involve imbalanced data, as most patients do not experience severe reactions.
