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Machine Learning Models for Predicting the Occurrence of Respiratory Diseases Using Climatic and Air-Pollution Factors
Yunseo Ku, Soon Bin Kwon, Jeong-Hwa Yoon, Seog-Kyun Mun, Munyoung Chang
Clin Exp Otorhinolaryngol. 2022;15(2):168-176.   Published online January 7, 2022
DOI: https://doi.org/10.21053/ceo.2021.01536
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Recent Advances in the Application of Artificial Intelligence in Otorhinolaryngology-Head and Neck Surgery
Bayu Adhi Tama, Do Hyun Kim, Gyuwon Kim, Soo Whan Kim, Seungchul Lee
Clin Exp Otorhinolaryngol. 2020;13(4):326-339.   Published online June 18, 2020
DOI: https://doi.org/10.21053/ceo.2020.00654
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Machine Learning Models for Predicting Hearing Prognosis in Unilateral Idiopathic Sudden Sensorineural Hearing Loss
Keon Vin Park, Kyoung Ho Oh, Yong Jun Jeong, Jihye Rhee, Mun Soo Han, Sung Won Han, June Choi
Clin Exp Otorhinolaryngol. 2020;13(2):148-156.   Published online March 12, 2020
DOI: https://doi.org/10.21053/ceo.2019.01858
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Prediction of Obstructive Sleep Apnea Based on Respiratory Sounds Recorded Between Sleep Onset and Sleep Offset
Jeong-Whun Kim, Taehoon Kim, Jaeyoung Shin, Goun Choe, Hyun Jung Lim, Chae-Seo Rhee, Kyogu Lee, Sung-Woo Cho
Clin Exp Otorhinolaryngol. 2019;12(1):72-78.   Published online September 8, 2018
DOI: https://doi.org/10.21053/ceo.2018.00388
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  • Feasibility of Virtual Reality-Based Auditory Localization Training With Binaurally Recorded Auditory Stimuli for Patients With Single-Sided Deafness Clin Exp Otorhinolaryngol. 2023;16(3):217-224.
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