Glaucoma Prediction Models Based on Ocular and Systemic Findings
Daphna Landau Prat,
Noa Kapelushnik,
Mattan Arazi
et al.
Abstract:Introduction: Our aim was to explore the impact of various systemic and ocular findings on predicting the development of glaucoma.
Methods: Medical records of 37,692 consecutive patients examined at a single medical center between 2001-2020 were analyzed using machine learning algorithms. Systemic and ocular features were included. Univariate and multivariate analyses followed by Cat Boost and Light Gradient-Boosting Machine (GBM) prediction models were performed. Main outcome measures were systemic and ocula… Show more
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