Several challenges can arise during the external validation process:
Data Heterogeneity: Differences in data collection methods, population characteristics, and healthcare systems can affect the validation process. Sample Size: A small sample size in the validation dataset can lead to unreliable results. Overfitting: If the model is too complex, it may perform well on the original dataset but poorly on the validation dataset.
