다양한 머신 러닝 알고리즘을 이용한 폐쇄수면무호흡 진단의 정확도

Diagnostic Accuracy of Different Machine Learning Algorithms for Obstructive Sleep Apnea

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J Korean Sleep Res Soc. 2022; Epub ahead of print.
Publication date (electronic) : 2022 June 24
doi : https://doi.org/10.13078/jsm.200022e
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
김현우1, 박의환2, 김대진3, 문수진4, 김지영5, 이가현5, 조재욱1
1양산부산대학교병원 신경과학교실
2한남대학교 경상대학 경제학과
3경복대학교 임상병리학과
4양산부산대학교병원 이비인후과학교실
5부산대학교병원 신경과학교실

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.

Acknowledgements

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

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