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.
Hippocampus analysis by combination of 3-d densenet and shapes for alzheimer's disease diagnosis
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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.