Prediction of myopia development among Chinese school-aged children using refraction data from electronic medical records: A retrospective, multicentre machine learning study.

Journal: PLoS medicine
Published Date: Nov 6, 2018

Abstract

BACKGROUND: Electronic medical records provide large-scale real-world clinical data for use in developing clinical decision systems. However, sophisticated methodology and analytical skills are required to handle the large-scale datasets necessary for the optimisation of prediction accuracy. Myopia is a common cause of vision loss. Current approaches to control myopia progression are effective but have significant side effects. Therefore, identifying those at greatest risk who should undergo targeted therapy is of great clinical importance. The objective of this study was to apply big data and machine learning technology to develop an algorithm that can predict the onset of high myopia, at specific future time points, among Chinese school-aged children.

Authors

  • Haotian Lin
    State Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-sen University, Guangzhou.
  • Erping Long
    State Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-sen University, Xian Lie South Road 54#, Guangzhou, 510060, China.
  • Xiaohu Ding
    State Key Laboratory of Ophthalmology, Clinical Research Center for Ocular Disease, Zhongshan Ophthalmic Centre, Sun Yat-sen University, Guangzhou, China.
  • Hongxing Diao
    State Key Laboratory of Ophthalmology, Clinical Research Center for Ocular Disease, Zhongshan Ophthalmic Centre, Sun Yat-sen University, Guangzhou, China.
  • Zicong Chen
    School of Public Health, Sun Yat-sen University, Guangzhou, China.
  • Runzhong Liu
    School of Public Health, Sun Yat-sen University, Guangzhou, China.
  • Jialing Huang
    School of Public Health, Sun Yat-sen University, Guangzhou, China.
  • Jingheng Cai
    School of Mathematics, Sun Yat-sen University, Guangzhou, China.
  • Shuangjuan Xu
    School of Mathematics, Sun Yat-sen University, Guangzhou, China.
  • Xiayin Zhang
    State Key Laboratory of Ophthalmology, Clinical Research Center for Ocular Disease, Zhongshan Ophthalmic Centre, Sun Yat-sen University, Guangzhou, China.
  • Dongni Wang
    State Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-sen University, Xian Lie South Road 54#, Guangzhou, 510060, China.
  • Kexin Chen
    Zhongshan School of Medicine, Sun Yat-sen University, Guangzhou, China.
  • Tongyong Yu
    Zhongshan School of Medicine, Sun Yat-sen University, Guangzhou, China.
  • Dongxuan Wu
    Zhongshan School of Medicine, Sun Yat-sen University, Guangzhou, China.
  • Xutu Zhao
    Zhongshan School of Medicine, Sun Yat-sen University, Guangzhou, China.
  • Zhenzhen Liu
    Department of Functional Science, School of Medicine, Yangtze University, No.1 Nanhuan Road, Jingzhou City 434100, China.
  • Xiaohang Wu
    State Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-sen University, Xian Lie South Road 54#, Guangzhou, 510060, China.
  • Yuzhen Jiang
    State Key Laboratory of Ophthalmology, Clinical Research Center for Ocular Disease, Zhongshan Ophthalmic Centre, Sun Yat-sen University, Guangzhou, China.
  • Xiao Yang
    Department of Nephrology, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China.
  • Dongmei Cui
    State Key Laboratory of Ophthalmology, Clinical Research Center for Ocular Disease, Zhongshan Ophthalmic Centre, Sun Yat-sen University, Guangzhou, China.
  • Wenyan Liu
    State Key Laboratory of Ophthalmology, Clinical Research Center for Ocular Disease, Zhongshan Ophthalmic Centre, Sun Yat-sen University, Guangzhou, China.
  • Yingfeng Zheng
    State Key Laboratory of Ophthalmology, Clinical Research Center for Ocular Disease, Zhongshan Ophthalmic Centre, Sun Yat-sen University, Guangzhou, China.
  • Lixia Luo
    State Key Laboratory of Ophthalmology, Clinical Research Center for Ocular Disease, Zhongshan Ophthalmic Centre, Sun Yat-sen University, Guangzhou, China.
  • Haibo Wang
    Institute of Cardiovascular Diseases, Shanghai Jiao Tong University School of Medicine, 197 Ruijin 2nd Road, Shanghai, 200025, PR China.
  • Chi-Chao Chan
    1 Laboratory of Immunology, National Eye Institute, National Institutes of Health , Bethesda, Maryland.
  • Ian G Morgan
    State Key Laboratory of Ophthalmology, Clinical Research Center for Ocular Disease, Zhongshan Ophthalmic Centre, Sun Yat-sen University, Guangzhou, China.
  • Mingguang He
    State Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-sen University, Guangzhou 510060, China; Centre for Eye Research Australia; Departments of Ophthalmology and Surgery, University of Melbourne, Melbourne, Australia. Electronic address: mingguang.he@unimelb.edu.au.
  • Yizhi Liu
    School of Computer Science and Engineering, Hunan University of Science and Technology, Xiangtan, China.

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