Explainable hybrid machine learning model for predicting stunting and identifying key risk factors among Ethiopian children under five
Abstract Childhood stunting, caused by poor nutrition, infections, and inadequate stimulation, impairs growth and development. This leads to reduced cognitive function and academic performance, increased risk of illness and death due to weakened immunity, lower economic productivity, and higher susc...
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| Hauptverfasser: | , , |
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| Format: | Artigo |
| Sprache: | Inglês |
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Nature Portfolio
2026-04-01
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| Schriftenreihe: | Scientific Reports |
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| Online-Zugang: | https://doi.org/10.1038/s41598-026-46417-w |
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