Ocular biometric parameters in Chinese preschool children and physiological axial length growth prediction using machine learning algorithms: a retrospective cross-sectional study.

Journal: BMJ open
PMID:

Abstract

OBJECTIVES: To examine the ocular biometric parameters and predict the annual growth rate of the physiological axial length (AL) in Chinese preschool children aged 4-6 years old.

Authors

  • Duanke Liu
    Department of Ophthalmology & Clinical Centre of Optometry, Peking University People's Hospital, Beijing, China.
  • Heng Zhao
    Department of Thoracic Surgery, Peking University People's Hospital, Beijing, China.
  • Tao Tang
    Ocean College, Zhejiang University, #1 Zheda Road, Zhoushan, Zhejiang 316021, China.
  • Xuewei Li
    Tianjin Key Laboratory of Cognitive Computing and Application, Tianjin, China.
  • Xiaoqing Shi
    Department of Ophthalmology & Clinical Centre of Optometry, Peking University People's Hospital, Beijing, China.
  • Jiahui Ma
    Ming Hsieh Department of Electrical and Computer Engineering, University of Southern California, Los Angeles, CA, 90089, USA.
  • Jingwei Zhou
    Institute of Clinical Pharmacology, Guangzhou University of Chinese Medicine, Guangzhou 510405, China.
  • Chenxu Zhao
    Department of Endocrinology, Peking University First Hospital, 100034, Beijing, China.
  • Yan Li
    Interdisciplinary Research Center for Biology and Chemistry, Liaoning Normal University, Dalian, China.
  • Kai Wang
    Department of Rheumatology, The Affiliated Huai'an No. 1 People's Hospital of Nanjing Medical University, Huai'an, Jiangsu, China.
  • Mingwei Zhao
    Department of Ophthalmology, Ophthalmology and Optometry Centre, Peking University People's Hospital, Beijing, China.