Application of machine learning methods for predicting under-five mortality: analysis of Nigerian demographic health survey 2018 dataset.
Journal:
BMC medical informatics and decision making
PMID:
38528495
Abstract
BACKGROUND: Under-five mortality remains a significant public health issue in developing countries. This study aimed to assess the effectiveness of various machine learning algorithms in predicting under-five mortality in Nigeria and identify the most relevant predictors.