A Transformer model predicts the next-visit Alzheimer's diagnosis from longitudinal visit sequences and outperforms RNN baselines on conversion cases, especially when few visits are available.
Functional brain network classification for alzheimer's disease detection with deep features and extreme learning machine
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Transformer Model for Alzheimer's Disease Progression Prediction Using Longitudinal Visit Sequences
A Transformer model predicts the next-visit Alzheimer's diagnosis from longitudinal visit sequences and outperforms RNN baselines on conversion cases, especially when few visits are available.