Domain expertise plays a crucial role in addressing class imbalance in cancer datasets. Experts can help identify which cases are critical to correctly classify and provide insights into the biological significance of different classes. This knowledge can guide data preprocessing, feature selection, and model tuning to ensure that the model is both clinically and statistically sound.