Cross-dataset Evaluation of Dementia Longitudinal Progression Prediction Models

Chen Zhang, B.T. Thomas Yeo

Keywords: Alzheimer’s disease, longitudinal progression modelling, domain generalization, recurrent neural networks, XGBoost, feature engineering

TL;DR: We developed L2C-FNN, a model for predicting dementia progression, and evaluated its generalizability across external datasets. L2C-FNN outperformed existing methods and demonstrated robust long-term prediction capabilities.

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Submission Number: 105