Prediction Models for Retinopathy of Prematurity Using Nonimaging Machine Learning Approaches: A Regional Multicenter Study.

Journal: Ophthalmology science
Published Date:

Abstract

PURPOSE: To develop nonimaging machine learning models using clinical data from the first screening to predict the occurrence of retinopathy of prematurity (ROP).

Authors

  • Yusuke Takeda
    Department of Ophthalmology and Visual Sciences, Yamagata University Faculty of Medicine, Yamagata, Japan.
  • Yutaka Kaneko
    Department of Ophthalmology and Visual Sciences, Yamagata University Faculty of Medicine, Yamagata, Japan.
  • Masahiko Sugimoto
    Department of Ophthalmology and Visual Sciences, Yamagata University Faculty of Medicine, Yamagata, Japan.
  • Hidetoshi Yamashita
    Yamagata City Institute of Public Health, Yamagata, Japan.
  • Ayako Sasaki
    Department of Pediatrics, Yamagata University Faculty of Medicine, Yamagata, Japan.
  • Tetsuo Mitsui
    Department of Pediatrics, Yamagata University Faculty of Medicine, Yamagata, Japan.

Keywords

No keywords available for this article.