Diseases like Alzheimer’s and Parkinson’s pose significant challenges because of their complex and progressive characteristics. Addressing these conditions requires advanced diagnostic methods that support value-based care. This study proposes NeuroPredictNet, a deep learning-based predictive framework designed for early and accurate disease identification. NeuroPredictNet integrates multimodal data—EEG, neuroimaging, genetic, and clinical features—through an attention-based fusion mech…