Improving preterm newborn identification in low-resource settings with machine learning-Reference-Cited by-同舟云学术

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

Published:2019-02-27 Issue:2 Volume:14 Page:e0198919
ISSN:1932-6203
Container-title:PLOS ONE
language:en
Short-container-title:PLoS ONE

Author:

Rittenhouse Katelyn J.^ORCID,Vwalika Bellington,Keil Alexander^ORCID,Winston Jennifer,Stoner Marie,Price Joan T.,Kapasa Monica,Mubambe Mulaya,Banda Vanilla,Muunga Whyson,Stringer Jeffrey S. A.^ORCID

Funder

Bill and Melinda Gates Foundation

Center for AIDS Research, University of North Carolina at Chapel Hill

Foundation for the National Institutes of Health

Publisher

Public Library of Science (PLoS)

Subject

Multidisciplinary

Reference43 articles.

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3. Clinical outcomes of near-term infants;ML Wang;Pediatrics,2004

4. Late preterm infants have worse 24-month neurodevelopmental outcomes than term infants;MA Woythaler;Pediatrics,2011

5. Long-term neurodevelopmental outcomes after intrauterine and neonatal insults: a systematic review;MK Mwaniki;Lancet,2012

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