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Digital Health|November 29, 2023
LIME-based ensemble machine for predicting performance status of patients with liver cancerHung Viet Nguyen, Haewon ByeonDigital Health|September 12, 2024
YOLOv7-based automated detection platform for scalp lesionsHung Viet Nguyen, Haewon ByeonFrontiers in Public Health|November 1, 2024
A hybrid self-supervised model predicting life satisfaction in South KoreaHung Viet Nguyen, Haewon ByeonFrontiers in Endocrinology|July 11, 2022
Factors Influencing the Utilization of Diabetes Complication Tests Under the COVID-19 Pandemic: Machine Learning ApproachHaewon ByeonJournal of Voice : Official Journal of the Voice Foundation|July 11, 2014
The risk factors of laryngeal pathology in Korean adults using a decision tree modelHaewon ByeonLogopedics, Phoniatrics, Vocology|May 7, 2016
Occupational risks for voice disorders: Evidence from a Korea national cross-sectional surveyHaewon ByeonWorld Journal of Psychiatry|August 21, 2025
Can reinforcement learning effectively prevent depression relapse?Haewon ByeonJournal of Personalized Medicine|May 2, 2020
Application of Machine Learning Technique to Distinguish Parkinson's Disease Dementia and Alzheimer's Dementia: Predictive Power of Parkinson's Disease-Related Non-Motor Symptoms and Neuropsychological ProfileHaewon ByeonJournal of Voice : Official Journal of the Voice Foundation|January 27, 2016
A Population-Based Cross-Sectional Study of Alcohol Consumption and Risk of Benign Laryngeal Disease in Korean AdultsHaewon ByeonInternational Journal of Environmental Research and Public Health|February 14, 2020
Meta-Analysis on the Effects of Transcranial Direct Current Stimulation on Naming of Elderly with Primary Progressive AphasiaHaewon ByeonPageof 14