A hierarchical attention-based multimodal fusion framework for predicting the progression of Alzheimer's disease

Keyphrases

• Alzheimer's Disease 100%
• Attention-based 100%
• Hierarchical Attention 100%
• Alzheime's Disease 100%
• Multimodal Fusion Framework 100%
• Unimodal Model 50%
• Clinical Data 33%
• Multimodal Fusion 33%
• Alzheimer Detection 33%
• Neurodegenerative Diseases 16%
• Early Treatment 16%
• Genetic Data 16%
• Early Detection 16%
• Decision Support System 16%
• Attention Mechanism 16%
• State-of-the-art Techniques 16%
• Model Interpretability 16%
• Ablation Experiment 16%
• Imaging Genetics 16%
• Clinical Practitioners 16%
• Data Modality 16%
• Framework Model 16%
• Multimodal Model 16%
• Shapley Additive Explanations 16%
• Image Dataset 16%
• Model Evaluation 16%
• Model Data 16%

Computer Science

• Clinical Data 100%
• Relative Importance 50%
• Decision Support System 50%
• Early Detection 50%
• Performance Model 50%
• Attention (Machine Learning) 50%
• Imaging Genetics 50%
• SHapley Additive exPlanation 50%
• Decision-Support System 50%
• Model Interpretability 50%