AIMC Topic: Delivery, Obstetric
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Integrating SHAP analysis with machine learning to predict postpartum hemorrhage in vaginal births.
BMC pregnancy and childbirth
May 3, 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 personalized risk as...
Detection of obstetric anal sphincter injuries using machine learning-assisted impedance spectroscopy: a prospective, comparative, multicentre clinical study.
Scientific reports
Mar 4, 2025
To evaluate the clinical performance and safety of the ONIRY system for obstetric anal sphincter injuries (OASI) detection versus three-dimensional endoanal ultrasound (EAUS). A prospective, comparative, multicentre, international study. Poland, Czec...
StUdy of Gestational diabetes And Risk using Electronic Data (SUGARED): a population-based cohort study-study protocol.
BMJ open
Dec 26, 2024
INTRODUCTION: The incidence of gestational diabetes mellitus (GDM) in Australia has tripled in the last 20 years. Consequently, over 40 000 pregnancies are now diagnosed as 'higher risk' each year. This has increased antenatal surveillance and obstet...
Research Design
Retrospective Studies
Pregnancy
Female
Humans
Observational Studies as Topic
Diabetes, Gestational
Glucose Tolerance Test
Information Storage and Retrieval
Risk Assessment
Incidence
Pregnancy Outcome
Logistic Models
New South Wales
Hospitals, Public
Routinely Collected Health Data
Predictive Learning Models
Propensity Score
Delivery, Obstetric
Multilevel Analysis
Predicting vaginal delivery after labor induction using machine learning: Development of a multivariable prediction model.
Acta obstetricia et gynecologica Scandinavica
Nov 27, 2024
INTRODUCTION: Induction of labor, often used for pregnancy termination, has globally rising rates, especially in high-income countries where pregnant women present with more comorbidities. Consequently, concerns on a potential rise in cesarean sectio...
Predicting place of delivery choice among childbearing women in East Africa: a comparative analysis of advanced machine learning techniques.
Frontiers in public health
Nov 27, 2024
BACKGROUND: Sub-Saharan Africa faces high neonatal and maternal mortality rates due to limited access to skilled healthcare during delivery. This study aims to improve the classification of health facilities and home deliveries using advanced machine...
Quality of birth care and risk factors of length of stay after birth: A machine learning approach.
The journal of obstetrics and gynaecology research
Sep 16, 2024
AIM: Length of stay (LOS) is an outcome measure and is assumed to be related to quality. The objective of this study is to examine the quality of birth care and risk factors associated with LOS after birth.
A machine learning model to predict spontaneous vaginal delivery failure for term nulliparous women: An observational study.
International journal of gynaecology and obstetrics: the official organ of the International Federation of Gynaecology and Obstetrics
Jun 20, 2024
OBJECTIVE: This study aims to construct and evaluate a model to predict spontaneous vaginal delivery (SVD) failure in term nulliparous women based on machine learning algorithms.
Prediction of post-delivery hemoglobin levels with machine learning algorithms.
Scientific reports
Jun 17, 2024
Predicting postpartum hemorrhage (PPH) before delivery is crucial for enhancing patient outcomes, enabling timely transfer and implementation of prophylactic therapies. We attempted to utilize machine learning (ML) using basic pre-labor clinical data...
Deep neural network (DNN) modelling for prediction of the mode of delivery.
European journal of obstetrics, gynecology, and reproductive biology
Apr 10, 2024
One of the factors that worry obstetricians the most is the method of delivery. In recent years, the rate of caesarean sections has steadily climbed and now exceeds the threshold advised by medical organizations. Obstetricians typically lack the tool...
An intelligent adverse delivery outcomes prediction model based on the fusion of multiple obstetric clinical data.
Computer methods in biomechanics and biomedical engineering
Sep 28, 2023
Adverse delivery outcomes is a major re-productive health problem that affects the physical and mental health of pregnant women. Obviously, obstetric clinical data has periodically time series characteristics. This paper proposed a three stage advers...
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