While LDA is a powerful tool, it has some limitations:
Assumption of Linearity: LDA assumes that the relationship between variables is linear, which may not always be the case in complex medical data. Requires Large Sample Size: For accurate results, LDA requires a substantial amount of data, which may not always be available in pediatric studies. Overfitting: If not properly managed, LDA models can become too specific to the training data and perform poorly on new data.
