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Ezenwa Onyema

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Articles

A dynamic risk prediction framework for Alzheimer's disease and related dementias with interpretability

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By Xiaoyang Ruan, Shuyu Lu, Sunyang Fu, Fang Chen, Rui Li, Andrew Wen, Liwei Wang, Victoria Tang, Hongfang Liu, Jaerong Ahn, Ezenwa Onyema
| Nature Verified
Abstract Alzheimer’s disease and related dementias (ADRD) develop years before symptoms emerge, making early prediction critical. Electronic health records (EHR) offer a scalable alternative to neuroimaging but are challenged by irregular encounters, data sparsity, and limited interpretability. We propose Gated Recurrent Unit with Decay & Attention (GRU-DA), which integrates GRU-D missingness modeling with RETAIN-style attention for interpretable risk monitoring.
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