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
NcRNA: key and potential in hearing loss
Keyu Zhu, Ting Wang, Sicheng Li, Zeming Liu, Yuanyuan Zhan, Qi Zhang
Frontiers in Neuroscience.2024;[Epub]     CrossRef
Machine Learning Study on the Virtual Screening of Donor–Acceptor Pairs for Organic Solar Cells
Ming Li, Cai‐Rong Zhang, Mei‐Ling Zhang, Ji‐Jun Gong, Xiao‐Meng Liu, Yu‐Hong Chen, Zi‐Jiang Liu, You‐Zhi Wu, Hong‐Shan Chen
physica status solidi (a).2024;[Epub]     CrossRef
Hearing Recovery Prediction for Patients with Chronic Otitis Media Who Underwent Canal-Wall-Down Mastoidectomy
Minsu Chae, Heesoo Yoon, Hwamin Lee, June Choi
Journal of Clinical Medicine.2024; 13(6): 1557.     CrossRef
Artificial Intelligence and Hearing Disorders
M. A. Shukuryan, H. M. А. Diab, L. A. Shukuryan, S. V Levin, A. K. Shukuryan
Medical Science of Armenia.2024; : 3.     CrossRef
Machine learning-based longitudinal prediction for GJB2-related sensorineural hearing loss
Pey-Yu Chen, Ta-Wei Yang, Yi-Shan Tseng, Cheng-Yu Tsai, Chiung-Szu Yeh, Yen-Hui Lee, Pei-Hsuan Lin, Ting-Chun Lin, Yu-Jen Wu, Ting-Hua Yang, Yu-Ting Chiang, Jacob Shu-Jui Hsu, Chuan-Jen Hsu, Pei-Lung Chen, Chen-Fu Chou, Chen-Chi Wu
Computers in Biology and Medicine.2024; 176: 108597.     CrossRef
Prognosis of Idiopathic Sudden Sensorineural Hearing Loss: The Nomogram Perspective
Huadong Wu, Wei Wan, Hongqun Jiang, Yuanping Xiong
Annals of Otology, Rhinology & Laryngology.2023; 132(1): 5.     CrossRef
Models of ultrasonic radiomics and clinical characters for lymph node metastasis assessment in thyroid cancer: a retrospective study
Hui Zhu, Bing Yu, Yanyan Li, Yuhua Zhang, Juebin Jin, Yao Ai, Xiance Jin, Yan Yang
PeerJ.2023; 11: e14546.     CrossRef
Hearing recovery prediction and prognostic factors of idiopathic sudden sensorineural hearing loss: a retrospective analysis with a deep neural network model
Tae Woong Uhm, Seongbaek Yi, Sung Won Choi, Se Joon Oh, Soo Keun Kong, Il Woo Lee, Hyun Min Lee
Brazilian Journal of Otorhinolaryngology.2023; 89(4): 101273.     CrossRef
Differentially expressed miRNA profiles of serum-derived exosomes in patients with sudden sensorineural hearing loss
Juhong Zhang, Haizhu Ma, Guijun Yang, Jing Ke, Wenfang Sun, Li Yang, Shaojing Kuang, Hai Li, Wei Yuan
Frontiers in Neurology.2023;[Epub]     CrossRef
Noninvasive prognostic factors and web predictive tools for idiopathic sudden sensorineural hearing loss
Guan-Jiang Huang, Meng-Si Luo, Biao-Qing Lu, Shao-Hua Li
American Journal of Otolaryngology.2023; 44(6): 103965.     CrossRef
Prediction of Hearing Prognosis After Intact Canal Wall Mastoidectomy With Tympanoplasty Using Artificial Intelligence
Sung Jin Lim, Eun‑Tae Jeon, Namyoung Baek, Young Han Chung, Sang Yeop Kim, Insik Song, Yoon Chan Rah, Kyoung Ho Oh, June Choi
Otolaryngology–Head and Neck Surgery.2023; 169(6): 1597.     CrossRef
Automated Detection of Retinopathy of Prematurity Using Quantum Machine Learning and Deep Learning Techniques
V. M. Raja Sankari, U. Umapathy, Sultan Alasmari, Shabnam Mohamed Aslam
IEEE Access.2023; 11: 94306.     CrossRef
Prognostic factors of sudden sensorineural hearing loss
Tae Hoon Kong
Journal of the Korean Medical Association.2023; 66(10): 573.     CrossRef
Machine Learning Models for Predicting Sudden Sensorineural Hearing Loss Outcome: A Systematic Review
Amirhossein Aghakhani, Milad Yousefi, Mir Saeed Yekaninejad
Annals of Otology, Rhinology & Laryngology.2023;[Epub]     CrossRef
Endoscopic sleeve gastroplasty reintervention score using supervised machine learning
Hassam Ali, Pratik Patel, Talia Farrukh Malik, Rahul Pamarthy, Babu P. Mohan, Ravishankar Asokkumar, Gontrand Lopez-Nava, Douglas G. Adler
Gastrointestinal Endoscopy.2023; 98(5): 747.     CrossRef
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; 279(10): 4727.     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
DESIGN AND IMPLEMENTATION OF A PORTABLE AUTOMATED AUDIOMETER FOR HEARING CLASSIFICATION USING MACHINE LEARNING APPROACHES
V. M. Raja Sankari, U. Snekhalatha, T. Rajalakshmi
Biomedical Engineering: Applications, Basis and Communications.2022;[Epub]     CrossRef
Ensemble Learning of Multiple Deep CNNs Using Accuracy-Based Weighted Voting for ASL Recognition
Ying Ma, Tianpei Xu, Seokbung Han, Kangchul Kim
Applied Sciences.2022; 12(22): 11766.     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