Predicting neonatal mortality using ensemble machine learning algorithms in the case of Ethiopian Rural Areas
Abstract Background Each year, approximately 2.5 million newborns die globally, with developing countries bearing the impact of this crisis. Sub-Saharan Africa has the highest neonatal mortality rate, with Ethiopia facing alarmingly high figures, particularly in rural areas where mortality is signif...
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| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Springer
2025-08-01
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| Series: | Discover Artificial Intelligence |
| Subjects: | |
| Online Access: | https://doi.org/10.1007/s44163-025-00305-w |
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