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Postpartum Hemorrhage

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Machine learning approach for the prediction of postpartum hemorrhage in vaginal birth.

Scientific reports 34799687
Postpartum hemorrhage is the leading cause of maternal morbidity. Clinical prediction of postpartum hemorrhage remains challenging, particularly in the case of a vaginal birth. We studied machine learning models to predict postpartum hemorrhage. Wome...
Adolescent Adult Area Under Curve Deep Learning Delivery, Obstetric False Positive Reactions Female Humans Infant, Newborn Labor, Obstetric Logistic Models Machine Learning Middle Aged Models, Statistical Models, Theoretical Neural Networks, Computer Postpartum Hemorrhage Pregnancy Reproducibility of Results Risk ROC Curve Support Vector Machine Tokyo Young Adult
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Predictive Modelling of Postpartum Haemorrhage Using Early Risk Factors: A Comparative Analysis of Statistical and Machine Learning Models.

International journal of environmental research and public health 38791814
Postpartum haemorrhage (PPH) is a significant cause of maternal morbidity and mortality worldwide, particularly in low-resource settings. This study aimed to develop a predictive model for PPH using early risk factors and rank their importance in ter...
Adult Case-Control Studies Female Humans Logistic Models Machine Learning Models, Statistical Postpartum Hemorrhage Pregnancy Risk Factors Rwanda Young Adult
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Interpretable machine learning predicts postpartum hemorrhage at time of admission.

American journal of obstetrics & gynecology MFM 38735774
Adult Female Humans Machine Learning Patient Admission Postpartum Hemorrhage Predictive Value of Tests Pregnancy
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Evaluating the Quality of Postpartum Hemorrhage Nursing Care Plans Generated by Artificial Intelligence Models.

Journal of nursing care quality 38701406
BACKGROUND: With the rapidly advancing technological landscape of health care, evaluating the potential use of artificial intelligence (AI) models to prepare nursing care plans is of great importance.
Adult Artificial Intelligence Cross-Sectional Studies Female Humans Patient Care Planning Postpartum Hemorrhage Pregnancy Quality of Health Care
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Prediction of post-delivery hemoglobin levels with machine learning algorithms.

Scientific reports 38886458
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...
Adult Algorithms Delivery, Obstetric Female Hemoglobins Humans Machine Learning Postpartum Hemorrhage Postpartum Period Pregnancy
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Quantitative prediction of postpartum hemorrhage in cesarean section on machine learning.

BMC medical informatics and decision making 38872184
BACKGROUND: Cesarean section-induced postpartum hemorrhage (PPH) potentially causes anemia and hypovolemic shock in pregnant women. Hence, it is helpful for obstetricians and anesthesiologists to prepare pre-emptive prevention when predicting PPH occ...
Adult Cesarean Section Female Humans Machine Learning Postpartum Hemorrhage Pregnancy
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Interpretable machine learning predicts postpartum hemorrhage with severe maternal morbidity in a lower-risk laboring obstetric population.

American journal of obstetrics & gynecology MFM 38851393
BACKGROUND: Early identification of patients at increased risk for postpartum hemorrhage (PPH) associated with severe maternal morbidity (SMM) is critical for preparation and preventative intervention. However, prediction is challenging in patients w...
Adult Cross-Sectional Studies Female Humans Machine Learning Postpartum Hemorrhage Pregnancy Retrospective Studies Risk Assessment Risk Factors ROC Curve United States
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Predicting Intra- and Postpartum Hemorrhage through Artificial Intelligence.

Medicina (Kaunas, Lithuania) 39459391
: Intra/postpartum hemorrhage stands as a significant obstetric emergency, ranking among the top five leading causes of maternal mortality. The aim of this study was to assess the predictive performance of four machine learning algorithms for the pre...
Adult Algorithms Artificial Intelligence Bayes Theorem Female Humans Postpartum Hemorrhage Predictive Value of Tests Pregnancy Prospective Studies Sensitivity and Specificity Support Vector Machine
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Accuracy of machine learning and traditional statistical models in the prediction of postpartum haemorrhage: a systematic review.

BMJ open 40032385
OBJECTIVES: To evaluate whether postpartum haemorrhage (PPH) can be predicted using both machine learning (ML) and traditional statistical models.
Female Humans Machine Learning Models, Statistical Postpartum Hemorrhage Pregnancy Risk Factors
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Integrating SHAP analysis with machine learning to predict postpartum hemorrhage in vaginal births.

BMC pregnancy and childbirth 40319253
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...
Adult Area Under Curve China Delivery, Obstetric Female Humans Machine Learning Postpartum Hemorrhage Predictive Value of Tests Pregnancy Retrospective Studies Risk Assessment ROC Curve
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