Applying Machine Learning Techniques in Nomogram Prediction and Analysis for SMILE Treatment.

Journal: American journal of ophthalmology
PMID:

Abstract

PURPOSE: To analyze the outcome of machine learning technique for prediction of small incision lenticule extraction (SMILE) nomogram.

Authors

  • Tong Cui
    Tianjin Eye Hospital, Tianjin Eye Institute, Tianjin Key Laboratory of Ophthalmology and Visual Science, Tianjin, China; Clinical College of Ophthalmology, Tianjin Medical University, Tianjin, China.
  • Yan Wang
    College of Animal Science and Technology, Beijing University of Agriculture, Beijing, China.
  • Shufan Ji
    Department of Computer Science, Beihang University, 37 Xueyuan Road, Haidian District, Beijing, 100191, China. jishufan@buaa.edu.cn.
  • Yan Li
    Interdisciplinary Research Center for Biology and Chemistry, Liaoning Normal University, Dalian, China.
  • WeiTing Hao
    Tianjin Eye Hospital, Tianjin Eye Institute, Tianjin Key Laboratory of Ophthalmology and Visual Science, Tianjin, China; Clinical College of Ophthalmology, Tianjin Medical University, Tianjin, China.
  • HaoHan Zou
    Tianjin Eye Hospital, Tianjin Eye Institute, Tianjin Key Laboratory of Ophthalmology and Visual Science, Tianjin, China; Clinical College of Ophthalmology, Tianjin Medical University, Tianjin, China.
  • Vishal Jhanji
    Department of Ophthalmology, UPMC Eye Center, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania, USA.