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Article

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

2021-06-21

Abstract excerpt

<h4>Background: </h4>  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. Validation outside of these settings is warranted.   <h4>Methods: </h4>:  This was a retrospective database...

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Literature Corpus work
2b650a4f-946f-5432-9d2b-ff7a0acff4d4
DOI
10.12688/gatesopenres.13131.2
Open publication

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External validation of machine learning models including newborn metabolomic markers for postnatal gestational age estimation in East and South-East Asian infantsDOI 10.12688/gatesopenres.13131.2
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