[HTML][HTML] Application of machine learning methods for predicting under-five mortality: analysis of Nigerian demographic health survey 2018 dataset
Background Under-five mortality remains a significant public health issue in developing
countries. This study aimed to assess the effectiveness of various machine learning …
countries. This study aimed to assess the effectiveness of various machine learning …
Application of machine learning methods for predicting under-five mortality: analysis of Nigerian demographic health survey 2018 dataset
O Samuel, T Zewotir, D North - BMC Medical Informatics and …, 2024 - europepmc.org
Background Under-five mortality remains a significant public health issue in developing
countries. This study aimed to assess the effectiveness of various machine learning …
countries. This study aimed to assess the effectiveness of various machine learning …
[HTML][HTML] Application of machine learning methods for predicting under-five mortality: analysis of Nigerian demographic health survey 2018 dataset
O Samuel, T Zewotir, D North - BMC Medical …, 2024 - bmcmedinformdecismak …
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 …
study aimed to assess the effectiveness of various machine learning algorithms in predicting …
Application of machine learning methods for predicting under-five mortality: analysis of Nigerian demographic health survey 2018 dataset
O Samuel, T Zewotir, D North - … medical informatics and …, 2024 - pubmed.ncbi.nlm.nih.gov
Background Under-five mortality remains a significant public health issue in developing
countries. This study aimed to assess the effectiveness of various machine learning …
countries. This study aimed to assess the effectiveness of various machine learning …
[HTML][HTML] Application of machine learning methods for predicting under-five mortality: analysis of Nigerian demographic health survey 2018 dataset
O Samuel, T Zewotir, D North - BMC Medical Informatics and …, 2024 - ncbi.nlm.nih.gov
Background Under-five mortality remains a significant public health issue in developing
countries. This study aimed to assess the effectiveness of various machine learning …
countries. This study aimed to assess the effectiveness of various machine learning …
Application of machine learning methods for predicting under-five mortality: analysis of Nigerian demographic health survey 2018 dataset.
O Samuel, T Zewotir, D North - BMC Medical Informatics & …, 2024 - search.ebscohost.com
Background: Under-five mortality remains a significant public health issue in developing
countries. This study aimed to assess the effectiveness of various machine learning …
countries. This study aimed to assess the effectiveness of various machine learning …
Application of machine learning methods for predicting under-five mortality: analysis of Nigerian demographic health survey 2018 dataset.
O Samuel, T Zewotir, D North - BMC Medical Informatics and …, 2024 - europepmc.org
Background Under-five mortality remains a significant public health issue in developing
countries. This study aimed to assess the effectiveness of various machine learning …
countries. This study aimed to assess the effectiveness of various machine learning …
[PDF][PDF] Application of machine learning methods for predicting under-five mortality: analysis of Nigerian demographic health survey 2018 dataset
O Samuel, T Zewotir, D North - 2024 - bmcmedinformdecismak …
Background Under-five mortality remains a significant public health issue in developing
countries. This study aimed to assess the effectiveness of various machine learning …
countries. This study aimed to assess the effectiveness of various machine learning …