Deep learning architectures for modeling and forecasting stroke cases in Ghana
The study highlights a persistently high but stabilizing stroke burden in Ghana. It underscores the urgent need for targeted interventions addressing modifiable risk factors, particularly diabetes, and supports LSTM as the most effective model for forecasting in this context.
Authors
- Abdul‐Karim Iddrisu (ORCID: https://orcid.org/0000-0002-6751-2516)
- Morongwa Gabanakgosi (ORCID: https://orcid.org/0000-0002-0207-7795)
- Abubakar Hudu Siddick
Institutions
- University of Ghana (GH)
- University of Botswana (BW)
Publication Details
- Journal
- Journal of Stroke and Cerebrovascular Diseases
- Published
- 2026-01-22
- DOI
- https://doi.org/10.1016/j.jstrokecerebrovasdis.2026.108570
- Primary Topic
- Acute Ischemic Stroke Management
- Type
- article
- Field-Weighted Citation Impact
- 0.00