Risk of intraoperative hemorrhage during cesarean scar ectopic pregnancy surgery: development and validation of an interpretable machine learning prediction modelResearch in context

Risk of intraoperative hemorrhage during cesarean scar ectopic pregnancy surgery: development and validation of an interpretable machine learning prediction modelResearch in context

Summary: Background: Current models for predicting intraoperative hemorrhage in cesarean scar ectopic pregnancy (CSEP) are constrained by known risk factors and conventional statistical methods. Our objective is to develop an interpretable prediction model using machine learning (ML) techniques to...

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Bibliographic Details
Main Authors: Xinli Chen, Huan Zhang, Dongxia Guo, Siyuan Yang, Bao Liu, Yiping Hao, Qingqing Liu, Teng Zhang, Fanrong Meng, Longyun Sun, Xinlin Jiao, Wenjing Zhang, Yanli Ban, Yugang Chi, Guowei Tao, Baoxia Cui
Format: Article
Language:English
Published: Elsevier 2024-12-01
Series:EClinicalMedicine
Subjects:
Cesarean scar ectopic pregnancy
Intraoperative hemorrhage
Interpretable machine learning
Prediction model
Visualization
Online Access:http://www.sciencedirect.com/science/article/pii/S2589537024005480
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