Quadratic Discriminant Analysis (QDA) is a statistical technique used in the field of machine learning and pattern recognition. It is a variant of Linear Discriminant Analysis (LDA) that allows for different covariance structures in each class, making it more flexible. This method is particularly useful when the assumption of equal covariance matrices in LDA does not hold. In the context of Pediatrics, QDA can be applied for various diagnostic and predictive purposes.
