Predicting and identifying factors associated with undernutrition among children under five years in Ghana using machine learning algorithms.

Background: Undernutrition among children under the age of five is a major public health concern, especially in developing countries. This study aimed to use machine learning (ML) algorithms to predict undernutrition and identify its associated factors.

Methods: Secondary data analysis of the 2017 Multiple Indicator Cluster Survey (MICS) was performed using R and Python.