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...

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Detalles Bibliográficos
Autores principales: Rittenhouse, Katelyn J., Vwalika, Bellington, Keil, Alexander, Winston, Jennifer, Stoner, Marie, Price, Joan T., Kapasa, Monica, Mubambe, Mulaya, Banda, Vanilla, Muunga, Whyson, Stringer, Jeffrey S. A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2019
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6392324/
https://www.ncbi.nlm.nih.gov/pubmed/30811399
http://dx.doi.org/10.1371/journal.pone.0198919

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6392324/
https://www.ncbi.nlm.nih.gov/pubmed/30811399
http://dx.doi.org/10.1371/journal.pone.0198919

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