A machine learning model to predict the risk of depression in US adults with obstructive sleep apnea hypopnea syndrome: a cross-sectional study

A machine learning model to predict the risk of depression in US adults with obstructive sleep apnea hypopnea syndrome: a cross-sectional study

ObjectiveDepression is very common and harmful in patients with obstructive sleep apnea hypopnea syndrome (OSAHS). It is necessary to screen OSAHS patients for depression early. However, there are no validated tools to assess the likelihood of depression in patients with OSAHS. This study used data...

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Bibliographic Details
Main Authors: Enguang Li, Fangzhu Ai, Chunguang Liang
Format: Article
Language:English
Published: Frontiers Media S.A. 2024-01-01
Series:Frontiers in Public Health
Subjects:
machine learning
depression
OSAHS
prediction models
NHANES
Online Access:https://www.frontiersin.org/articles/10.3389/fpubh.2023.1348803/full

Internet

https://www.frontiersin.org/articles/10.3389/fpubh.2023.1348803/full

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