Machine learning guided postnatal gestational age assessment using new-born screening metabolomic data in South Asia and sub-Saharan Africa
Abstract Background Babies born early and/or small for gestational age in Low and Middle-income countries (LMICs) contribute substantially to global neonatal and infant mortality. Tracking this metric is critical at a population level for informed policy, advocacy, resources allocation and program e...
Main Authors: | , , , , , , , , , , , , , , , , , , , , , , , , , |
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Format: | Article |
Language: | English |
Published: |
BMC
2021-09-01
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Series: | BMC Pregnancy and Childbirth |
Subjects: | |
Online Access: | https://doi.org/10.1186/s12884-021-04067-y |