Development and validation of a spontaneous preterm birth risk prediction algorithm based on maternal bioinformatics: A single-center retrospective study

Development and validation of a spontaneous preterm birth risk prediction algorithm based on maternal bioinformatics: A single-center retrospective study

Abstract Background Spontaneous preterm birth (sPTB) is a primary cause of adverse neonatal outcomes. The objective of this study is to analyze the factors influencing the occurrence of sPTB in pregnant women and to construct and validate a predictive model for sPTB risk based on big data from clini...

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Bibliographic Details
Main Authors: Yu Chen, Xinyan Shi, Zhiyi Wang, Lin Zhang
Format: Article
Language:English
Published: BMC 2024-11-01
Series:BMC Pregnancy and Childbirth
Subjects:
Spontaneous preterm birth
Machine learning
Clinical laboratory
Big data
Model
Online Access:https://doi.org/10.1186/s12884-024-06933-x
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