Application of machine learning methods for predicting under-five mortality: analysis of Nigerian demographic health survey 2018 dataset
Oduse Samuel,
Temesgen Zewotir,
Delia North
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.
Methods
The study used nationally representative data from the 2018 Nigeria Demographic and Health Survey. The study evaluated the performance of the machine learning models such a… Show more
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