Predicting ophthalmic clinic non-attendance using machine learning: Development and validation of models using nationwide data.

Machine learning algorithms can predict ophthalmic clinic non-attendance with relatively basic demographic and clinic data. These findings suggest further research examining implementation of such algorithms in scheduling systems or public health interventions may be useful.