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...

Descrición completa

Gardado en:
Detalles Bibliográficos
Publicado en:Gates Open Res
Main Authors: 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: Artigo
Idioma:Inglês
Publicado: F1000 Research Limited 2021
Assuntos:
Research Article
Acceso en liña:https://ncbi.nlm.nih.gov/pmc/articles/PMC8160452/
https://ncbi.nlm.nih.gov/pubmed/34104876
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.12688/gatesopenres.13131.2
Tags: Engadir etiqueta
Sen Etiquetas, Sexa o primeiro en etiquetar este rexistro!

Títulos similares