Predicting Success in Descemet Membrane Endothelial Keratoplasty Surgery Using Machine Learning
Emine Esra Karaca,
Ayça Bulut Ustael,
Ali Seydi Keçeli
et al.
Abstract:Purpose:
This study aimed to predict early graft failure (GF) in patients who underwent Descemet membrane endothelial keratoplasty based on donor characteristics.
Methods:
Several machine learning methods were trained to predict GF automatically. To predict GF, the following variables were obtained: donor age, sex, systemic diseases, medications, duration of stay in the intensive care unit, death-to-preservation time (DPT), endothelial cell density of t… Show more
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