The promise of data science for health research in Africa
- PMID: 37770478
- PMCID: PMC10539491
- DOI: 10.1038/s41467-023-41809-2
The promise of data science for health research in Africa
Abstract
Data science health research promises tremendous benefits for African populations, but its implementation is fraught with substantial ethical governance risks that could thwart the delivery of these anticipated benefits. We discuss emerging efforts to build ethical governance frameworks for data science health research in Africa and the opportunities to advance these through investments by African governments and institutions, international funding organizations and collaborations for research and capacity development.
© 2023. Springer Nature Limited.
Conflict of interest statement
The authors declare no competing interests.
References
-
- Georgakopoulos, S. V., Gallos, P. & Plagianakos, V. P. Using Big Data Analytics to Detect Fraud in Healthcare Provision in 2020 IEEE 5th Middle East and Africa Conference on Biomedical Engineering (MECBME 2020). (IEEE, New Jersy, 2020).
-
- Gebremeskel GB, Yi C, He Z, Haile D. Combined data mining techniques based patient data outlier detection for healthcare safety. Int. J. Intell. Comput. Cybern. 2016;9:42–68. doi: 10.1108/IJICC-07-2015-0024. - DOI
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