Development, comparison, and internal validation of prediction models to determine the visual prognosis of patients with open globe injuries using machine learning approaches.

Journal: BMC medical informatics and decision making
PMID: 38773484

Abstract

INTRODUCTION: Open globe injuries (OGI) represent a main preventable reason for blindness and visual impairment, particularly in developing countries. The goal of this study is evaluating key variables affecting the prognosis of open globe injuries and validating internally and comparing different machine learning models to estimate final visual acuity.

Authors

  • Mehrdad Motamed Shariati
    Eye Research Center, Mashhad University of Medical Sciences, Mashhad, Iran.
  • Saeid Eslami
    Department of Medical Informatics, Faculty of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran.
  • Nasser Shoeibi
    Eye Research Center, Mashhad University of Medical Sciences, Mashhad, Iran.
  • Alireza Eslampoor
    Eye Research Center, Mashhad University of Medical Sciences, Mashhad, Iran.
  • Mohammadreza Sedaghat
    Eye Research Center, Mashhad University of Medical Sciences, Mashhad, Iran.
  • Hamid Gharaei
    Eye Research Center, Mashhad University of Medical Sciences, Mashhad, Iran.
  • Siamak Zarei-Ghanavati
    Eye Research Center, Mashhad University of Medical Sciences, Mashhad, Iran.
  • Akbar Derakhshan
    Eye Research Center, Mashhad University of Medical Sciences, Mashhad, Iran.
  • Majid Abrishami
    Eye Research Center, Mashhad University of Medical Sciences, Mashhad, Iran.
  • Mojtaba Abrishami
    Eye Research Center, Mashhad University of Medical Sciences, Mashhad, Iran.
  • Seyedeh Maryam Hosseini
    Eye Research Center, Mashhad University of Medical Sciences, Mashhad, Iran.
  • Saeed Shokuhi Rad
    Eye Research Center, Mashhad University of Medical Sciences, Mashhad, Iran.
  • Mohammadreza Ansari Astaneh
    Eye Research Center, Mashhad University of Medical Sciences, Mashhad, Iran.
  • Raheleh Mahboub Farimani
    Department of Medical Informatics, Kerman University of Medical Sciences, Kerman, Iran. raahimah60@gmail.com.

Keywords

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