Near viewing behaviors predict educational system in a machine learning model.

ABSTRACT: Intensive education systems are believed to contribute to high rates of myopia. This study examined whether near-viewing behaviors in college students differ based on their pre-college educational systems and whether these behaviors can be used to classify students' educational background using machine learning. Male students ages 18-33 years who attended either an intensive (ultra-Orthodox) or a standard school system (non-ultra-Orthodox) prior to college were recruited. Refractive error was measured and near-viewing behaviors were assessed using a wearable sensor during academic study periods. Compared to standard school students, intensive school students had significantly more myopic refraction (P < 0.03), spent more time viewing very near distances (P < 0.004) and less time viewing in

SUBMITTER: Doron R 

PROVIDER: S-EPMC12373835 | biostudies-literature | 2025 Aug

REPOSITORIES: biostudies-literature