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 2020 Mar 12     DOI: https://doi.org/10.21053/ceo.2019.01858
Citations to this article as recorded by Crossref logo
A hybrid scheme for AEP based hearing deficiency diagnosis: CWT and convoluted k-nearest neighbour (CKNN) pipeline
Md Nahidul Islam, Norizam Sulaiman, Bifta Sama Bari, Mamunur Rashid, Mahfuzah Mustafa
Neuroscience Informatics.2022; 2(1): 100037.     CrossRef
Frequency-specific prediction model of hearing outcomes in patients with idiopathic sudden sensorineural hearing loss
Yuki Kawamura, Hideaki Suzuki, Thi Nga Nguyen, Jun-ichi Ohkubo, Tetsuro Wakasugi, Takuro Kitamura
European Archives of Oto-Rhino-Laryngology.2022;[Epub]     CrossRef
Prognosis of Idiopathic Sudden Sensorineural Hearing Loss: The Nomogram Perspective
Huadong Wu, Wei Wan, Hongqun Jiang, Yuanping Xiong
Annals of Otology, Rhinology & Laryngology.2022; : 000348942210751.     CrossRef
Association of sudden sensorineural hearing loss with asthma: a longitudinal follow-up study using a national sample cohort
Hyo Geun Choi, Chanyang Min, Chang Ho Lee, So Young Kim
BMJ Open.2022; 12(2): e047966.     CrossRef
Prediction of hearing recovery in unilateral sudden sensorineural hearing loss using artificial intelligence
Min Kyu Lee, Eun-Tae Jeon, Namyoung Baek, Jeong Hwan Kim, Yoon Chan Rah, June Choi
Scientific Reports.2022;[Epub]     CrossRef
Biochemical and Pain Comparisons Between the Laser Lancing Device and Needle Lancets for Capillary Blood Sampling: A Randomized Control Trial
Won Sang Yoo, Junwon Min, Phil‐Sang Chung, Seung Hoon Woo
Lasers in Surgery and Medicine.2021; 53(3): 316.     CrossRef
Predicting hearing recovery following treatment of idiopathic sudden sensorineural hearing loss with machine learning models
Taewoong Uhm, Jae Eun Lee, Seongbaek Yi, Sung Won Choi, Se Joon Oh, Soo Keun Kong, Il Woo Lee, Hyun Min Lee
American Journal of Otolaryngology.2021; 42(2): 102858.     CrossRef
Contributions and limitations of using machine learning to predict noise-induced hearing loss
Feifan Chen, Zuwei Cao, Emad M. Grais, Fei Zhao
International Archives of Occupational and Environmental Health.2021; 94(5): 1097.     CrossRef
Machine Learning Models for Predicting Facial Nerve Palsy in Parotid Gland Surgery for Benign Tumors
Carlos Miguel Chiesa-Estomba, Oier Echaniz, Jon Alexander Sistiaga Suarez, Jose Angel González-García, Ekhiñe Larruscain, Xabier Altuna, Alfonso Medela, Manuel Graña
Journal of Surgical Research.2021; 262: 57.     CrossRef
Innovative Artificial Intelligence Approach for Hearing-Loss Symptoms Identification Model Using Machine Learning Techniques
Mohd Khanapi Abd Ghani, Nasir G. Noma, Mazin Abed Mohammed, Karrar Hameed Abdulkareem, Begonya Garcia-Zapirain, Mashael S. Maashi, Salama A. Mostafa
Sustainability.2021; 13(10): 5406.     CrossRef
The emergence of machine learning in auditory neural impairment: A systematic review
Abdul Rauf Abu Bakar, Khin Wee Lai, Nur Azah Hamzaid
Neuroscience Letters.2021; 765: 136250.     CrossRef
Application of Machine Learning in Rhinology: A State of the Art Review
Myeong Sang Yu
Korean Journal of Otorhinolaryngology-Head and Neck Surgery.2020; 63(8): 341.     CrossRef