Temesgen Zewotir

Imbalance-aware explainable machine learning for concurrent child undernutrition modeling

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...