Journal article

Predicting the 10-year risk of cataract surgery using machine learning techniques on questionnaire data: findings from the 45 and Up Study.

Wei Wang, Xiaotong Han, Jiaqing Zhang, Xianwen Shang, Jason Ha, Zhenzhen Liu, Lei Zhang, Lixia Luo, Mingguang He

British Journal of Ophthalmology | Published : 2021

Abstract

BACKGROUND/AIMS: To investigate the feasibility and accuracy of using machine learning (ML) techniques on self-reported questionnaire data to predict the 10-year risk of cataract surgery, and to identify meaningful predictors of cataract surgery in middle-aged and older Australians. METHODS: Baseline information regarding demographic, socioeconomic, medical history and family history, lifestyle, dietary and self-rated health status were collected as risk factors. Cataract surgery events were confirmed by the Medicare Benefits Schedule Claims dataset. Three ML algorithms (random forests [RF], gradient boosting machine and deep learning) and one traditional regression algorithm (logistic model..

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University of Melbourne Researchers