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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| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
IMR Press
2024-03-01
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| Series: | Clinical and Experimental Obstetrics & Gynecology |
| Subjects: | |
| Online Access: | https://www.imrpress.com/journal/CEOG/51/3/10.31083/j.ceog5103060 |
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