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

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...

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Bibliographic Details
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/
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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/

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