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Otology
Machine-Learning Based Analysis of Usefulness of Wideband Tympanometry in Various Middle Ear Disorders ( 1097 times )
Seung Cheol Han, Hae Chan Park, Ye Jin Byun, Myung-Whan Suh, Jun Ho Lee, Seung-Ha Oh, Moo Kyun Park
Korean J Otorhinolaryngol-Head Neck Surg. 2023;66(7):447-454.   Published online May 30, 2023
DOI: https://doi.org/10.3342/kjorl-hns.2021.00780
                        
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Head and Neck
Machine Learning Algorithms for Predicting Treatment Outcomes of Oropharyngeal Cancer After Surgery ( 1212 times )
Dachan Kim, Se-Heon Kim, Eun Chang Choi, Jae-Yol Lim, Yoon Woo Koh, Young Min Park
Korean J Otorhinolaryngol-Head Neck Surg. 2023;66(4):241-247.   Published online February 24, 2023
DOI: https://doi.org/10.3342/kjorl-hns.2022.00794
                        
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Machine Learning-Based Predictor for Treatment Outcomes of Patients With Salivary Gland Cancer After Operation ( 2188 times )
Min Cheol Jeong, Yoon Woo Koh, Eun Chang Choi, Jae-Yol Lim, Se-Heon Kim, Young Min Park
Korean J Otorhinolaryngol-Head Neck Surg. 2022;65(6):334-342.   Published online May 12, 2022
DOI: https://doi.org/10.3342/kjorl-hns.2021.00871
                        
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Application of Machine Learning in Rhinology: A State of the Art Review ( 6334 times )
Myeong Sang Yu
Korean J Otorhinolaryngol-Head Neck Surg. 2020;63(8):341-349.   Published online August 20, 2020
DOI: https://doi.org/10.3342/kjorl-hns.2020.00633
                        
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Korean J Otorhinolaryngol-Head Neck Surg 2017;
kjorl-hns.2017.00304
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