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[HTML][HTML] Machine learning approach for predicting under-five mortality determinants in Ethiopia: evidence from the 2016 Ethiopian Demographic and Health Survey

FH Bitew, SH Nyarko, L Potter, CS Sparks - Genus, 2020 - Springer
There is a dearth of literature on the use of machine learning models to predict important
under-five mortality risks in Ethiopia. In this study, we showed spatial variations of under-five …
被引用次数：37 相关文章
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[HTML][HTML] Machine learning approach for predicting under-five mortality determinants in Ethiopia: evidence from the 2016 Ethiopian Demographic and Health Survey

FH Bitew, SH Nyarko, L Potter, CS Sparks - Genus, 2020 - genus.springeropen.com
There is a dearth of literature on the use of machine learning models to predict important
under-five mortality risks in Ethiopia. In this study, we showed spatial variations of under-five …

Machine learning approach for predicting under-five mortality determinants in Ethiopia: evidence from the 2016 Ethiopian Demographic and Health Survey

FH Bitew, SH Nyarko, L Potter, CS Sparks - Genus, 2020 - go.gale.com
There is a dearth of literature on the use of machine learning models to predict important
under-five mortality risks in Ethiopia. In this study, we showed spatial variations of under-five …

Machine learning approach for predicting under-five mortality determinants in Ethiopia: evidence from the 2016 Ethiopian Demographic and Health Survey

FH Bitew, SH Nyarko, L Potter, CS Sparks - Genus, 2020 - search.proquest.com
There is a dearth of literature on the use of machine learning models to predict important
under-five mortality risks in Ethiopia. In this study, we showed spatial variations of under-five …
[PDF] academia.edu

[PDF][PDF] Machine learning approach for predicting under-five mortality determinants in Ethiopia: evidence from the 2016 Ethiopian Demographic and Health Survey

FH Bitew, SH Nyarko, L Potter, CS Sparks - 2020 - academia.edu
There is a dearth of literature on the use of machine learning models to predict important
under-five mortality risks in Ethiopia. In this study, we showed spatial variations of under-five …
[PDF] d-nb.info

[PDF][PDF] Machine learning approach for predicting under-five mortality determinants in Ethiopia: evidence from the 2016 Ethiopian Demographic and Health Survey

FH Bitew, SH Nyarko, L Potter, CS Sparks - 2020 - d-nb.info
There is a dearth of literature on the use of machine learning models to predict important
under-five mortality risks in Ethiopia. In this study, we showed spatial variations of under-five …
[PDF] researchgate.net

[PDF][PDF] Machine learning approach for predicting under-five mortality determinants in Ethiopia: evidence from the 2016 Ethiopian Demographic and Health Survey

FH Bitew, SH Nyarko, L Potter, CS Sparks - 2020 - researchgate.net
There is a dearth of literature on the use of machine learning models to predict important
under-five mortality risks in Ethiopia. In this study, we showed spatial variations of under-five …
[PDF] archive.org

[PDF][PDF] Machine learning approach for predicting under-five mortality determinants in Ethiopia: evidence from the 2016 Ethiopian Demographic and Health Survey

FH Bitew, SH Nyarko, L Potter, CS Sparks - 2020 - scholar.archive.org
There is a dearth of literature on the use of machine learning models to predict important
under-five mortality risks in Ethiopia. In this study, we showed spatial variations of under-five …

Machine learning approach for predicting under-five mortality determinants in Ethiopia: evidence from the 2016 Ethiopian Demographic and Health Survey.

FH Bitew, SH Nyarko, L Potter, CS Sparks - Genus, 2020 - search.ebscohost.com
There is a dearth of literature on the use of machine learning models to predict important
under-five mortality risks in Ethiopia. In this study, we showed spatial variations of under-five …

Machine Learning Approach for Predicting under-Five Mortality Determinants in Ethiopia: Evidence from the 2016 Ethiopian Demographic and Health Survey

FH Bitew, SH Nyarko, L Potter, CS Sparks - Genus, 2020 - HeinOnline
* Correspondence: fikre. wold@ gmal. Abstract corn oep or eath, Co m unity & There is a
dearth of literature on the use of machine learning models to predict PorCy, University of …