AI-powered model for accurate prediction of MCI-to-AD progression.

ABSTRACT: Alzheimer's disease (AD) remains a formidable challenge in modern healthcare, necessitating innovative approaches for its early detection and intervention. This study aimed to enhance the identification of individuals with mild cognitive impairment (MCI) at risk of developing AD. Leveraging advances in computational power and the extensive availability of healthcare data, we explored the potential of deep learning models for early prediction using medical claims data. We employed a bidirectional gated recurrent unit (BiGRU) deep learning model for predictive modeling of MCI progression across various prediction intervals, extending up to five years post-initial MCI diagnosis. The performance of the BiGRU model was rigorously compared with several machine-learning model baselines to evaluat

SUBMITTER: Abdelhameed A 

PROVIDER: S-EPMC12491705 | biostudies-literature | 2025 Sep

REPOSITORIES: biostudies-literature