Postpartum Haemorrhage Risk Prediction Model Developed by Machine Learning Algorithms: A Single-Centre Retrospective Analysis of Clinical Data

Background: Postpartum haemorrhage (PPH) is a serious complication and a cause of maternal mortality after delivery. This study used machine learning algorithms and new feature selection methods to build an efficient PPH risk prediction model and provided new ideas and reference methods for PPH risk...

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Detalhes bibliográficos

Principais autores:	Wenhuan Wang, Chanchan Liao, Hongping Zhang, Yanjun Hu
Formato:	Artigo
Idioma:	Inglês
Publicado em:	IMR Press 2024-03-01
Colecção:	Clinical and Experimental Obstetrics & Gynecology
Assuntos:	postpartum haemorrhage machine learning risk prediction feature selection
Acesso em linha:	https://www.imrpress.com/journal/CEOG/51/3/10.31083/j.ceog5103060
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