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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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Gardado en:
Principais autores: Liang He, Kailin Luo, Rong Wang, Gaoying Wang, Jianyi Gao, Jing Wang, Ruirui Dong
Formato: Artigo
Idioma:Inglês
Publicado: Frontiers Media S.A. 2026-07-01
Series:Frontiers in Medicine
Assuntos:
machine learning
mid-pregnancy
preterm birth
prospective validation
risk prediction
Acceso en liña:https://www.frontiersin.org/articles/10.3389/fmed.2026.1888022/full
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