Predicting Success in Descemet Membrane Endothelial Keratoplasty Using Machine Learning.

Journal: Cornea
PMID: 38913970

Abstract

PURPOSE: This study aimed to predict early graft failure (GF) in patients who underwent Descemet membrane endothelial keratoplasty based on donor characteristics.

Authors

  • Emine Esra Karaca
    Department of Ophthalmology, 536164 University of Health Sciences, Ankara Bilkent City Hospital , Ankara, Türkiye.
  • Ayça Bulut Ustael
    Department of Ophthalmology, Ankara Bilkent City Hospital, University of Health Sciences, Ankara, Turkey.
  • Ali Seydi Keçeli
    Department of Software Engineering, Cankaya University, Ankara 06790, Turkey.
  • Aydin Kaya
    Department of Computer Engineering, Cankaya University, Ankara 06790, Turkey.
  • Alaettin Uçan
    Department of Research and Development, Tiga Health Informatics, Ankara, Turkey.
  • Özlem Evren Kemer
    Department of Ophthalmology, 536164 University of Health Sciences, Ankara Bilkent City Hospital , Ankara, Türkiye.

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