Machine learning algorithms to predict healthcare-seeking behaviors of mothers for acute respiratory infections and their determinants among children under five in sub-Saharan Africa

BackgroundAcute respiratory infections (ARIs) are the leading cause of death in children under the age of 5 globally. Maternal healthcare-seeking behavior may help minimize mortality associated with ARIs since they make decisions about the kind and frequency of healthcare services for their children...

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Bibliografische gegevens

Hoofdauteurs:	Tirualem Zeleke Yehuala, Muluken Chanie Agimas, Nebiyu Mekonnen Derseh, Sisay Maru Wubante, Bezawit Melak Fente, Getaneh Awoke Yismaw, Tigabu Kidie Tesfie
Formaat:	Artigo
Taal:	Inglês
Gepubliceerd in:	Frontiers Media S.A. 2024-06-01
Reeks:	Frontiers in Public Health
Onderwerpen:	acute respiratory infections health-seeking behaviors prediction machine learning algorithms sub-Saharan Africa
Online toegang:	https://www.frontiersin.org/articles/10.3389/fpubh.2024.1362392/full
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