Improving preterm newborn identification in low-resource settings with machine learning.

Improving preterm newborn identification in low-resource settings with machine learning.

BACKGROUND:Globally, preterm birth is the leading cause of neonatal death with estimated prevalence and associated mortality highest in low- and middle-income countries (LMICs). Accurate identification of preterm infants is important at the individual level for appropriate clinical intervention as w...

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Bibliographic Details
Main Authors: Katelyn J Rittenhouse, Bellington Vwalika, Alexander Keil, Jennifer Winston, Marie Stoner, Joan T Price, Monica Kapasa, Mulaya Mubambe, Vanilla Banda, Whyson Muunga, Jeffrey S A Stringer
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2019-01-01
Series:PLoS ONE
Online Access:https://doi.org/10.1371/journal.pone.0198919

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https://doi.org/10.1371/journal.pone.0198919

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