Research interests include Receiver operating characteristic, Noise-induced hearing loss, Machine learning, Statistics, Support vector machine, and Meta-analysis.
An advanced machine learning approach for high accuracy automated diagnosis of otitis media with effusion in different age groups using 3D wideband acoustic immittance
Biomedical Signal Processing and Control2023cited by 10position: firstdoi
Machine Learning in Diagnosing Middle Ear Disorders Using Tympanic Membrane Images: A <scp>Meta‐Analysis</scp>
The Laryngoscope2022cited by 36position: middledoi
Contributions and limitations of using machine learning to predict noise-induced hearing loss
International Archives of Occupational and Environmental Health2021cited by 47position: middledoi