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J Sleep Med > Volume 19(2); 2022 > Article
다양한 머신 러닝 알고리즘을 이용한 폐쇄수면무호흡 진단의 정확도
Erratum

J Sleep Med 2022;19(2):95-95.

Published online: June 24, 2022

DOI: https://doi.org/10.13078/jsm.200022e

다양한 머신 러닝 알고리즘을 이용한 폐쇄수면무호흡 진단의 정확도

김현우1, 박의환2, 김대진3, 문수진4, 김지영5, 이가현5, 조재욱1

1양산부산대학교병원 신경과학교실

2한남대학교 경상대학 경제학과

3경복대학교 임상병리학과

4양산부산대학교병원 이비인후과학교실

5부산대학교병원 신경과학교실

Diagnostic Accuracy of Different Machine Learning Algorithms for Obstructive Sleep Apnea

Hyun-Woo Kim1, Euihwan Park2, Dae Jin Kim3, Sue Jean Mun4, Jiyoung Kim5, Gha-Hyun Lee5, Jae Wook Cho1

1Department of Neurology, Pusan National University Yangsan Hospital, Yangsan, Korea

2Department of Economics, Hannam University, Daejeon, Korea

3Department of Biomedical Laboratory Science, Kyungbok University, Porcheon, Korea

4Department of Otorhinolaryngology , Pusan National University Yangsan Hospital, Yangsan, Korea

5Department of Neurology, Pusan National University Hospital, Busan, Korea

Copyright © 2022 Korean Sleep Research Society

This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/4.0) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.
J Sleep Med 2020;17(2):128-137 / https://doi.org/10.13078/jsm.200022
We would like to correct the Acknowledgments as written below.

Acknowledgments

This study was supported by a 2020 research grant from Pusan National University Yangsan Hospital.
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