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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Principais autores:	Shengwei Ren, Kaili Yang, Liyan Xu, Qi Fan, Yuwei Gu, Chenjiu Pang, Dongqing Zhao
Formato:	Artigo
Idioma:	Inglês
Publicado em:	Frontiers Media S.A. 2023-12-01
coleção:	Frontiers in Bioengineering and Biotechnology
Assuntos:	pediatric keratoconus subclinical keratoconus corneal tomographic parameters corneal biomechanical parameters machine learning diagnosis ability
Acesso em linha:	https://www.frontiersin.org/articles/10.3389/fbioe.2023.1273500/full
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