Predicting Success in Descemet Membrane Endothelial Keratoplasty Surgery Using Machine Learning

Published in Cornea, 2024

Recommended citation: Karaca E. E., Bulut Ustael A., Keçeli A. S., Kaya A., Uçan A., Kemer Ö. E., (2024) Predicting Success in Descemet Membrane Endothelial Keratoplasty Surgery Using Machine Learning, Cornea https://pubmed.ncbi.nlm.nih.gov/38913970/

This study aimed to predict early graft failure (GF) in patients who underwent Descemet membrane endothelial keratoplasty based on donor characteristics. The study shows a strong relationship between increased intensive care duration, DPT, and GF. Experimental results demonstrate that machine learning methods may effectively predict GF automatically.

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Recommended citation: Karaca E. E., Bulut Ustael A., Keçeli A. S., Kaya A., Uçan A., Kemer Ö. E., (2024) Predicting Success in Descemet Membrane Endothelial Keratoplasty Surgery Using Machine Learning, Cornea