A Novel Feedforward Neural Network Model for Accurate Detection of Alzheimer's Disease Using Handwriting Analysis
An interpretable deep learning framework for AD diagnosis using the DARWIN handwriting dataset is proposed, which integrates Recursive Feature Elimination with a Feedforward Neural Network (FNN) to identify the most discriminative handwriting features, reduce dimensionality, and enhance generalization.