Multiple Machine Learning Methods Reveal Key Biomarkers of Obstructive Sleep Apnea and Continuous Positive Airway Pressure Treatment

Multiple Machine Learning Methods Reveal Key Biomarkers of Obstructive Sleep Apnea and Continuous Positive Airway Pressure Treatment

Obstructive sleep apnea (OSA) is a worldwide health issue that affects more than 400 million people. Given the limitations inherent in the current conventional diagnosis of OSA based on symptoms report, novel diagnostic approaches are required to complement existing techniques. Recent advances in ge...

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Bibliographic Details
Main Authors: Jie Zhu, Larry D. Sanford, Rong Ren, Ye Zhang, Xiangdong Tang
Format: Article
Language:English
Published: Frontiers Media S.A. 2022-07-01
Series:Frontiers in Genetics
Subjects:
obstructive sleep apnea
machine learning
continuous positive airway pressure
bioinfomatic analysis
random forest (bagging) and machine learning
artificial neural network
Online Access:https://www.frontiersin.org/articles/10.3389/fgene.2022.927545/full

Internet

https://www.frontiersin.org/articles/10.3389/fgene.2022.927545/full

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