Xueting Chen

No ORCID on file · 3 papers in corpus
other 2025
Integrating SHAP analysis with machine learning to predict postpartum hemorrhage in vaginal births
BMC pregnancy and childbirth ·doi:10.1186/s12884-025-07633-w

OBJECTIVE: This study aimed to develop a machine learning (ML) model integrated with SHapley Additive exPlanations (SHAP) analysis to predict postpartum hemorrhage (PPH) following vaginal deliveries, offering a potential tool for personaliz…

observational 2025
Postpartum haemorrhage following vaginal delivery: a comprehensive analysis and development of predictive models for aetiological subgroups in Chinese women
BMJ open ·doi:10.1136/bmjopen-2024-089734

OBJECTIVES: This study aimed to dissect the aetiological subgroups of postpartum haemorrhage (PPH) that occur after vaginal delivery in women with full-term singleton pregnancies. Our goal was to craft and validate predictive models to guid…

observational 2022
Ultrasound-based nomogram for postpartum hemorrhage prediction in pernicious placenta previa
Frontiers in physiology ·doi:10.3389/fphys.2022.982080

Background: Pernicious placenta previa (PPP) is one of the most dangerous complications in pregnancy after cesarean section, with high perinatal mortality. This study aimed to develop a nomogram to predict postpartum hemorrhage in patients …