Optimizing ambulance location based on road accident data in Rwanda using machine learning algorithms
Machine learning may identify hidden information that standard statistical approaches cannot, the developed model for random forest and k-means clustering combined with linear programming reveals a strong performance for optimizing ambulance location using road accident data.
Authors
- Emmanuel Masabo (ORCID: https://orcid.org/0000-0002-0894-4909)
- Gatembo Bahati
Institutions
- University of Rwanda (RW)
- African Institute for Mathematical Sciences (RW)
Publication Details
- Journal
- International Journal of Health Geographics
- Published
- 2025-08-27
- DOI
- https://doi.org/10.1186/s12942-025-00400-2
- Citations
- 1
- Primary Topic
- Trauma and Emergency Care Studies
- Type
- article
- Field-Weighted Citation Impact
- 2.25
Funders
- University of Rwanda
- Rwanda Biomedical Centre