Peer-reviewedCC BYFrontiers in public health
Machine learning–based ecological prediction of maternal mortality ratio in malaria-endemic Africa
6 affiliations
- 1Institute of Public Health,College of Medicine and Health Sciences, United Arab Emirates University , ,
- 2Mechanical and Aerospace Engineering Department, College of Engineering, United Arab Emirates University , ,
- 3Physics Department, College of Sciences, United Arab Emirates University , ,
- 4Infectious Diseases Epidemiology Research Advancement Unit (IDERA), Institute of Public Health, College of Medicine and Health Sciences, United Arab Emirates University , ,
- 5The Global Institute for Disease Elimination , ,
- 6Mathematical Department, College of Sciences, United Arab Emirates University , ,
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BibTeX
@article{belfakir2026machine,
title = {{Machine learning–based ecological prediction of maternal mortality ratio in malaria-endemic Africa}},
author = {Messaouda Belfakir and Imad Shahid and Mohamed Belfkir and Balázs Ádám and Rami AlRifai and Farida Alhosani and Abdessamad Tridane},
journal = {Frontiers in public health},
year = {2026},
month = oct,
url = {https://europepmc.org/article/PMC/PMC13655114},
note = {CC BY},
}
RIS
TY - JOUR
TI - Machine learning–based ecological prediction of maternal mortality ratio in malaria-endemic Africa
AU - Messaouda Belfakir
AU - Imad Shahid
AU - Mohamed Belfkir
AU - Balázs Ádám
AU - Rami AlRifai
AU - Farida Alhosani
AU - Abdessamad Tridane
PY - 2026
DA - 2026/10/16
JO - Frontiers in public health
UR - https://europepmc.org/article/PMC/PMC13655114
SN - 2296-2565
ER -