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Integrating Bleeding Velocity and Clinical Indicators into Machine Learning Models for Predicting Postpartum Hemorrhage: Development and External Validation Study

2025-12-10

Abstract excerpt

<h4>Objective: </h4> To develop and externally validate predictive models for early detection of postpartum hemorrhage by combining clinical, hemodynamic, and temporal blood loss indicators. <h4>Design: </h4> Multicenter retrospective model development and external validation study. <h4>Setting: </h4> A Brazilian tertiary referral hospital and pooled clinical trial and observational datasets from low- and middle...

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Literature Corpus work
280f96b8-eeb2-56a5-acf4-2e6327fba396
DOI
10.22541/au.176540414.43901598/v1
Open publication

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Integrating Bleeding Velocity and Clinical Indicators into Machine Learning Models for Predicting Postpartum Hemorrhage: Development and External Validation StudyDOI 10.22541/au.176540414.43901598/v1
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