External validation of machine learning models including newborn metabolomic markers for postnatal gestational age estimation in East and South-East Asian infants [version 2; peer review: 1 approved, 3 approved with reservations]
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...
Main Authors: | , , , , , , , , , , , , , , , , |
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Format: | Article |
Language: | English |
Published: |
F1000 Research Ltd
2021-06-01
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Series: | Gates Open Research |
Online Access: | https://gatesopenresearch.org/articles/4-164/v2 |