AI-Powered Model for Accurate Prediction of MCI-to-AD Progression

Authors

Ahmed Abdelhameed
Jingna Feng
Xinyue Hu
Fang Li
Sori Lundin
Paul E Schulz
Cui Tao

Publication Date

9-1-2025

Journal

Acta Pharmaceutica Sinica B

DOI

10.1016/j.apsb.2025.01.027

PMID

41049748

PMCID

PMC12491705

PubMedCentral® Posted Date

2-10-2025

PubMedCentral® Full Text Version

Post-print

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 evaluate its efficacy. Using a robust cross-validation methodology, the BiGRU emerged as the top-performing model, achieving an Area Under the Receiver Operating Characteristic Curve (AUC-ROC) of 0.833 (95% CI: 0.822, 0.843), an Area Under the Precision-Recall Curve (AUC-PR) of 0.856 (95% CI: 0.845, 0.867), and an F1-Score of 0.71 (95% CI: 0.694, 0.724) for a five-year prediction interval. The results indicate that BiGRU, utilizing longitudinal claims data, reliably predicts MCI-to-AD progression over a lengthy interval following the initial MCI diagnosis, offering clinicians a valuable tool for targeted risk identification and stratification.

Keywords

BiGRU, Predictive modeling, Machine learning, Longitudinal claim data, Risk stratification, Electronic health records

Published Open-Access

yes

Recommended Citation

Abdelhameed, Ahmed; Feng, Jingna; Hu, Xinyue; et al., "AI-Powered Model for Accurate Prediction of MCI-to-AD Progression" (2025). Faculty, Staff and Student Publications. 6497.
https://digitalcommons.library.tmc.edu/uthgsbs_docs/6497