Application of machine learning methods for predicting under-five mortality: analysis of Nigerian demographic health survey 2018 dataset

Application of machine learning methods for predicting under-five mortality: analysis of Nigerian demographic health survey 2018 dataset

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 u...

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Bibliographic Details
Main Authors: Oduse Samuel, Temesgen Zewotir, Delia North
Format: Article
Language:English
Published: BMC 2024-03-01
Series:BMC Medical Informatics and Decision Making
Subjects:
Under-five mortality
Machine learning
Nigeria
Demographic and health surveys
Decision-making tools
Online Access:https://doi.org/10.1186/s12911-024-02476-5

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