External validation of machine learning models including newborn metabolomic markers for postnatal gestational age estimation in East and South-East Asian infants

Background: Postnatal gestational age (GA) algorithms derived from newborn metabolic profiles have emerged as a novel method of acquiring population-level preterm birth estimates in low resource settings. To date, model development and validation have been carried out in North American settings. Val...

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Detalles Bibliográficos
Autores principales: Hawken, Steven, Murphy, Malia S. Q., Ducharme, Robin, Bota, A. Brianne, Wilson, Lindsay A., Cheng, Wei, Tumulak, Ma-Am Joy, Alcausin, Maria Melanie Liberty, Reyes, Ma Elouisa, Qiu, Wenjuan, Potter, Beth K., Little, Julian, Walker, Mark, Zhang, Lin, Padilla, Carmencita, Chakraborty, Pranesh, Wilson, Kumanan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: F1000 Research Limited 2021
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8160452/
https://www.ncbi.nlm.nih.gov/pubmed/34104876
http://dx.doi.org/10.12688/gatesopenres.13131.2

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8160452/
https://www.ncbi.nlm.nih.gov/pubmed/34104876
http://dx.doi.org/10.12688/gatesopenres.13131.2

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