Machine learning‐based nomogram to predict poor response to overnight orthokeratology in Chinese myopic children: A multicentre, retrospective study
Wenting Tang,
Jiaqian Li,
Xuelin Fu
et al.
Abstract:PurposeTo develop and validate an effective nomogram for predicting poor response to orthokeratology.MethodsMyopic children (aged 8–15 years) treated with orthokeratology between February 2018 and January 2022 were screened in four hospitals of different tiers (i.e. municipal and provincial) in China. Potential predictors included 32 baseline clinical variables. Nomogram for the outcome (1‐year axial elongation ≥0.20 mm: poor response; <0.20 mm: good response) was computed from a logistic regression model w… Show more
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