Prediction of spherical equivalent difference before and after cycloplegia in school-age children with machine learning algorithms

Abstract

Based on big data acquisition and machine learning techniques, the difference before and after cycloplegia can be effectively predicted in school-age children. This study provides a theoretical basis and supporting evidence for the epidemiological study of myopia and the accurate analysis of vision screening data and optometry services.