A machine learning-based risk prediction model for early preterm birth: development and prospective validation

IntroductionPreterm birth (PTB) remains a leading cause of neonatal morbidity and mortality worldwide, yet accurate and clinically applicable risk prediction tools during mid-pregnancy are still limited.MethodsWe developed a machine learning–based model to predict PTB risk using routinely collected...

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Autori principali:	Liang He, Kailin Luo, Rong Wang, Gaoying Wang, Jianyi Gao, Jing Wang, Ruirui Dong
Natura:	Artigo
Lingua:	Inglês
Pubblicazione:	Frontiers Media S.A. 2026-07-01
Serie:	Frontiers in Medicine
Soggetti:	machine learning mid-pregnancy preterm birth prospective validation risk prediction
Accesso online:	https://www.frontiersin.org/articles/10.3389/fmed.2026.1888022/full
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