Predictors of contemporary under-5 child mortality in low- and middle-income countries : a machine learning approach

• Main Authors: Bizzego, Andrea, Gabrieli, Giulio, Bornstein, Marc H., Deater-Deckard, Kirby, Lansford, Jennifer E., Bradley, Robert H., Costa, Megan, Esposito, Gianluca
• Other Authors: School of Social Sciences
• Format: Article
• Language: English
• Published: 2021
• Subjects: Science::Medicine; Child Development; Child Mortality
• Online Access: https://hdl.handle.net/10356/146411
• Institution: Nanyang Technological University

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...