Xiaoxue Wang
No ORCID on file
· 5 papers in corpus
observational
2026
OBJECTIVE: To investigate the relationship between third-trimester antenatal depression (AND) and the number of pregnancies, considering the possible moderating role of dysmenorrhea. METHODS: A total of 1,178 pregnant women in their third t…
other
2025
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
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
BACKGROUND: Postpartum hemorrhage (PPH) is a common complication following vaginal delivery and in severe cases can lead to maternal death. A straightforward predictive model is required to enable prenatal evaluations by obstetricians to pr…
observational
2022
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 …