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Mulu Abebe Asmamaw on Muck Rack

Mulu Abebe Asmamaw

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Articles

Imbalance-aware explainable machine learning for concurrent child undernutrition modeling

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By Temesgen Zewotir, Haile Mekonnen Fenta, Getnet Bogale Begashaw, Mulu Abebe Asmamaw, Abebe Mengistu Legass
| Nature Verified
Abstract Child undernutrition remains a significant public-health issue in Ethiopia, shaped by socioeconomic, environmental, and health-related factors. This study develops a machine-learning (ML) classification model that accounts for concurrent nutritional outcomes in male and female children. Using baseline data from the Young Lives Cohort Study across five Ethiopian regions, we applied Random Forest (RF) for feature selection and trained multiple ML algorithms with k-fold cross-validation.
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