S. Gebeyehu

Development and Validation of Interpretable Machine Learning Models for Early Prediction of Low Birth Weight in Ethiopia: A Secondary Analysis of the Ethiopian Demographic and Health Survey

Background: Low birth weight remains a primary driver of neonatal and infant mortality in Ethiopia. Machine learning models can assist early risk identification, yet clinical adoption is often limited by black box algorithms and late pregnancy predictor variables. This study aimed to develop and validate interpretable...