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

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Location: Deutsche Nationalbibliothek Frankfurt am Main

ISSN: 2035-5556

Extent: Online-Ressource

Language: Englisch

Notes: online resource.

Bibliographic citation: Machine learning approach for predicting under-five mortality determinants in Ethiopia: evidence from the 2016 Ethiopian Demographic and Health Survey ; volume:76 ; number:1 ; day:4 ; month:11 ; year:2020 ; pages:1-16 ; date:12.2020
Genus ; 76, Heft 1 (4.11.2020), 1-16, 12.2020

Creator: Bitew, Fikrewold H.
Nyarko, Samuel H.
Potter, Lloyd
Sparks, Corey S.

Contributor: SpringerLink (Online service)

DOI: 10.1186/s41118-020-00106-2

URN: urn:nbn:de:101:1-2020121719270814355533

Rights: Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.

Last update: 15.08.2025, 7:23 AM CEST

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Bitew, Fikrewold H.
Nyarko, Samuel H.
Potter, Lloyd
Sparks, Corey S.
SpringerLink (Online service)

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

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Other Objects (12)

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Under-five mortality rate variation between the Health and Demographic Surveillance System (HDSS) and Demographic and Health Survey (DHS) approaches

A machine learning classifier approach for identifying the determinants of under-five child undernutrition in Ethiopian administrative zones

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Socioeconomic and demographic factors determining the underweight prevalence among children under-five in Punjab

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Under-five mortality rate variation between the Health and Demographic Surveillance System (HDSS) and Demographic and Health Survey (DHS) approaches

A machine learning classifier approach for identifying the determinants of under-five child undernutrition in Ethiopian administrative zones

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