Postsurgery classification of best-corrected visual acuity changes based on Pterygium Characteristics using the Machine Learning Technique

• Main Authors: Jais, Fatin Nabihah, Che Azemin, Mohd Zulfaezal, Hilmi, Mohd Radzi, Mohd Tamrin, Mohd Izzuddin, Mohd. Kamal, Khairidzan
• Format: Article
• Language: English; English
• Published: Hindawi 2021
• Subjects: RE Ophthalmology; TK7885 Computer engineering
• Online Access: http://irep.iium.edu.my/93778/7/93778_Postsurgery%20Classification%20of%20Best-Corrected%20Visual%20Acuity%20Changes%20Based%20on%20Pterygium%20Characteristics.pdf; http://irep.iium.edu.my/93778/13/93778_Postsurgery%20classification%20of%20best-corrected_Scopus.pdf; http://irep.iium.edu.my/93778/; https://www.hindawi.com/journals/tswj/2021/6211006/

Early detection of visual symptoms in pterygium patients is crucial as the progression of the disease can cause visual disruption and contribute to visual impairment. Best-corrected visual acuity (BCVA) and corneal astigmatism influence the degree of visual impairment due to direct invasion of fibro...