Prediction of Stunting Among Under-5 Children in Rwanda Using Machine Learning Techniques
Similien Ndagijimana, Ignace Kabano, Emmanuel Masabo, Jean Marie Ntaganda
Journal of Preventive Medicine and Public Health
Abstract
Therefore, machine-learning techniques may be used in Rwanda to construct an accurate model that can detect the early stages of stunting and offer the best predictive attributes to help prevent and control stunting in under five Rwandan children.
Concepts
Confusion matrixMalnutritionMachine learningMedicineArtificial intelligenceGradient boostingEnvironmental health