Machine learning analysis with the comprehensive index of corneal tomographic and biomechanical parameters in detecting pediatric subclinical keratoconus

Background: Keratoconus (KC) occurs at puberty but diagnosis is focused on adults. The early diagnosis of pediatric KC can prevent its progression and improve the quality of life of patients. This study aimed to evaluate the ability of corneal tomographic and biomechanical variables through machine...

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Autors principals:	Shengwei Ren, Kaili Yang, Liyan Xu, Qi Fan, Yuwei Gu, Chenjiu Pang, Dongqing Zhao
Format:	Artigo
Idioma:	Inglês
Publicat:	Frontiers Media S.A. 2023-12-01
Col·lecció:	Frontiers in Bioengineering and Biotechnology
Matèries:	pediatric keratoconus subclinical keratoconus corneal tomographic parameters corneal biomechanical parameters machine learning diagnosis ability
Accés en línia:	https://www.frontiersin.org/articles/10.3389/fbioe.2023.1273500/full
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