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...

Πλήρης περιγραφή

Λεπτομέρειες βιβλιογραφικής εγγραφής

Κύριοι συγγραφείς:	Shengwei Ren, Kaili Yang, Liyan Xu, Qi Fan, Yuwei Gu, Chenjiu Pang, Dongqing Zhao
Μορφή:	Artigo
Γλώσσα:	Inglês
Έκδοση:	Frontiers Media S.A. 2023-12-01
Σειρά:	Frontiers in Bioengineering and Biotechnology
Θέματα:	pediatric keratoconus subclinical keratoconus corneal tomographic parameters corneal biomechanical parameters machine learning diagnosis ability
Διαθέσιμο Online:	https://www.frontiersin.org/articles/10.3389/fbioe.2023.1273500/full
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