Prediction of spontaneous preterm birth using supervised machine learning on metabolomic data: A case–cohort study
Publication: BJOG
Yasmina Al Ghadban, Yuheng Du, D. Stephen Charnock-Jones, Lana X. Garmire, Gordon C. S. Smith, Ulla Sovio
20 November 2023
Summary
This study identified metabolites from the blood of pregnant mothers that are predictive of spontaneous preterm birth. The results require validation in external populations.