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.

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