Machine learning-based nomogram to predict poor response to overnight orthokeratology in Chinese myopic children: A multicentre, retrospective study.

Journal: Acta ophthalmologica
PMID:

Abstract

PURPOSE: To develop and validate an effective nomogram for predicting poor response to orthokeratology.

Authors

  • Wenting Tang
    Department of Ophthalmology, The First Affiliated Hospital of Chengdu Medical College, Chengdu Medical College, Chengdu, China.
  • Jiaqian Li
    Department of Periodontics and Oral Medicine, the University of Michigan School of Dentistry, Ann Arbor, MI 48109.
  • Xuelin Fu
    Department of Ophthalmology, Chengdu First People's Hospital, Chengdu, China.
  • Quan Lin
    Department of Ophthalmology, Nanning Aier Eye Hospital, Nanning, China.
  • Li Zhang
    Department of Animal Nutrition and Feed Science, College of Animal Science and Technology, Huazhong Agricultural University, Wuhan 430070, China.
  • Xiangning Luo
    Department of Ophthalmology, The First Affiliated Hospital of Chengdu Medical College, Chengdu Medical College, Chengdu, China.
  • Wenjing Zhao
    Department of Respiratory and Critical Care Medicine, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, The People's Republic of China.
  • Jia Liao
    Department of Ophthalmology, The First Affiliated Hospital of Chengdu Medical College, Chengdu Medical College, Chengdu, China.
  • Xinyue Xu
    Department of Ophthalmology, The First Affiliated Hospital of Chengdu Medical College, Chengdu Medical College, Chengdu, China.
  • Xiaoqin Wang
  • Huidan Zhang
    Department of Ophthalmology, The First Affiliated Hospital of Chengdu Medical College, Chengdu Medical College, Chengdu, China.
  • Jing Li
    Department of Neurosurgery, Tianjin Medical University General Hospital, Tianjin, China.