Global Burden of Alzheimer’s Disease Attributable to High Fasting Plasma Glucose: Epidemiological Trends and Machine Learning Insights
From 1990 to 2021, global AD death rates and DALY rates due to HFPG significantly increased, with a greater burden in females and regions with higher socio-demographic development. Machine learning models are effective tools for identifying individuals at high risk of elevated blood glucose leading to cognitive impairment.
Authors
- Qiguan Jin (ORCID: https://orcid.org/0000-0002-5539-8779)
- Shuohan Huang
- Yahong Dong
- Yixiao Ma
Institutions
- Institute for Health Metrics and Evaluation (US)
- Yangzhou University (CN)
Publication Details
- Journal
- Risk Management and Healthcare Policy
- Published
- 2025-04-01
- DOI
- https://doi.org/10.2147/rmhp.s506581
- Citations
- 4
- Primary Topic
- Artificial Intelligence in Healthcare
- Type
- article
- Field-Weighted Citation Impact
- 11.75
Funders
- Government of Jiangsu Province