Prediction of spontaneous preterm birth using supervised machine learning on metabolomic data: A case-cohort study.

Yasmina Al GhadbanYuheng DuDavid Stephen Charnock-JonesLana X GarmireGordon C S Smith Ulla Sovio

Published in: BJOG : an international journal of obstetrics and gynaecology (2023)

We identified and internally validated maternal serum metabolites predictive of sPTB. A lysolipid, 1-palmitoleoyl-GPE (16:1)*, is a novel predictor of sPTB and sETB. Further validation in external populations is required.

Keyphrases

preterm birth
machine learning
big data
gestational age
birth weight
low birth weight
artificial intelligence
ms ms
electronic health record
pregnancy outcomes
deep learning
genetic diversity
preterm infants
physical activity