Prediction of retinopathy of prematurity development and treatment need with machine learning models.

Journal: BMC ophthalmology
PMID: 40211206

Abstract

BACKGROUND: To evaluate the effectiveness of machine learning (ML) models in predicting the occurrence of retinopathy of prematurity (ROP) and treatment need.

Authors

  • Ceren Durmaz Engin
    Department of Ophthalmology, Izmir Democracy University Buca Seyfi Demirsoy Education and Research Hospital, Izmir, Turkey.
  • Taylan Ozturk
    Department of Ophthalmology, Tinaztepe University, Izmir, Turkey.
  • Ozlem Ozkan
    Department of Ophthalmology, Dokuz Eylul University School of Medicine, Izmir, Turkey.
  • Ali Oztas
    EPAM Systems, Izmir, Turkey.
  • Mustafa Alper Selver
    Department of Biomedical Technologies, Dokuz Eylul University, Izmir, Turkey.
  • Funda Tuzun
    Department of Neonatology, Dokuz Eylul University School of Medicine, Izmir, Turkey.

Keywords

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