Machine Learning to Determine Risk Factors for Myopia Progression in Primary School Children: The Anyang Childhood Eye Study.
Shi-Ming LiMing-Yang RenJiahe GanSan-Guo ZhangMeng-Tian KangHe LiDavid A AtchisonJos RozemaAndrzej GrzybowskiNing Li Wangnull nullPublished in: Ophthalmology and therapy (2022)
Myopia progression in children was predicted well by machine learning models. UDVA and spherical equivalents were good predictive factors for myopia progression in children through primary school. Parental myopia was found to play a substantial role in the early stage of myopia progression but waned as children grew older.