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