Utilizing Artificial Neural Networks for Establishing Hearing-Loss Predicting Models Based on a Longitudinal Dataset and Their Implications for Managing the Hearing Conservation Program

• Main Authors: Thanawat Khajonklin (Author), Yih-Min Sun (Author), Yue-Liang Leon Guo (Author), Hsin-I Hsu (Author), Chung Sik Yoon (Author), Cheng-Yu Lin (Author), Perng-Jy Tsai (Author)
• Format: Book
• Published: Elsevier, 2024-06-01T00:00:00Z.
• Subjects: article
• Online Access: Connect to this object online.

Background: Though the artificial neural network (ANN) technique has been used to predict noise-induced hearing loss (NIHL), the established prediction models have primarily relied on cross-sectional datasets, and hence, they may not comprehensively capture the chronic nature of NIHL as a disease li...