Predictors of Contemporary under-5 Child Mortality in Low- and Middle-Income Countries: A Machine Learning Approach

Predictors of Contemporary under-5 Child Mortality in Low- and Middle-Income Countries: A Machine Learning Approach

Child Mortality (CM) is a worldwide concern, annually affecting as many as 6.81% children in low- and middle-income countries (LMIC). We used data of the Multiple Indicators Cluster Survey (MICS) (N = 275,160) from 27 LMIC and a machine-learning approach to rank 37 distal causes of CM and identify t...

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Bibliographic Details
Main Authors: Andrea Bizzego, Giulio Gabrieli, Marc H. Bornstein, Kirby Deater-Deckard, Jennifer E. Lansford, Robert H. Bradley, Megan Costa, Gianluca Esposito
Format: Article
Language:English
Published: MDPI AG 2021-02-01
Series:International Journal of Environmental Research and Public Health
Subjects:
child development
child mortality
machine learning
education
big data
Online Access:https://www.mdpi.com/1660-4601/18/3/1315

Internet

https://www.mdpi.com/1660-4601/18/3/1315

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