Performance of machine learning-based models to screen obstructive sleep apnea in pregnancy

Performance of machine learning-based models to screen obstructive sleep apnea in pregnancy

Abstract The purpose of this study is to improve the performance of existing OSA screening tools for pregnant women with machine learning algorithms. A total of 296 pregnant women who complained of snoring OSA were recruited to complete four traditional OSA screening questionnaires: Berlin, STOP, ST...

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Main Authors: Jingyu Wang, Wenhan Xiao, Haoyang Hong, Chi Zhang, Min Yu, Liyue Xu, Jun Wei, Jingjing Yang, Yanan Liu, Huijie Yi, Linyan Zhang, Rui Bai, Bing Zhou, Long Zhao, Xueli Zhang, Xiaozhi Wang, Xiaosong Dong, Guoli Liu, Shenda Hong
Format: Article
Language:English
Published: Nature Portfolio 2024-08-01
Series:npj Women's Health
Online Access:https://doi.org/10.1038/s44294-024-00030-2
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https://doi.org/10.1038/s44294-024-00030-2

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