Application of various machine learning techniques to predict obstructive sleep apnea syndrome severity

Abstract As the incidence of obstructive sleep apnea syndrome (OSAS) increases worldwide, the need for a new screening method that can compensate for the shortcomings of the traditional diagnostic method, polysomnography (PSG), is emerging. In this study, data from 4014 patients were used, and both...

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Bibliographic Details
Main Authors: Hyewon Han, Junhyoung Oh
Format: Article
Language:English
Published: Nature Portfolio 2023-04-01
Series:Scientific Reports
Online Access:https://doi.org/10.1038/s41598-023-33170-7

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