다양한 머신 러닝 알고리즘을 이용한 폐쇄수면무호흡 진단의 정확도

Diagnostic Accuracy of Different Machine Learning Algorithms for Obstructive Sleep Apnea

Article information

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

Publication date (electronic) : 2022 June 24

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

Hyun-Woo Kim ¹, Euihwan Park ², Dae Jin Kim ³, Sue Jean Mun ⁴, Jiyoung Kim ⁵, Gha-Hyun Lee ⁵, Jae Wook Cho ¹

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.

Article information Continued

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.