Machine learning methods to identify risk factors for corneal graft rejection in keratoconus

Machine learning methods to identify risk factors for corneal graft rejection in keratoconus

Abstract Machine learning can be used to identify risk factors associated with graft rejection after corneal transplantation for keratoconus. The study included all keratoconus eyes that underwent primary corneal transplantation from 1994 to 2021. Data relating to the recipient, donor, surgery, and...

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Bibliographic Details
Main Authors: Sepehr Feizi, Mohammad Ali Javadi, Kia Bayat, Mohammadreza Arzaghi, Amir Rahdar, Mohammad Javad Ahmadi
Format: Article
Language:English
Published: Nature Portfolio 2024-11-01
Series:Scientific Reports
Subjects:
Keratoconus
Corneal transplantation
Graft rejection
Prediction
Machine learning
Artificial neural network
Online Access:https://doi.org/10.1038/s41598-024-80967-1
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https://doi.org/10.1038/s41598-024-80967-1

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