{
  "abstract": "Background This study aimed to create machine learning (ML) models to predict the long-term uncorrected distance visual acuity (UDVA) in myopic eyes corrected by small incision lenticule extraction (SMILE).Methods This was a retrospective cohort study conducted in Zhongshan Ophthalmic Center, Sun Yat-sen University. Participants who underwent SMILE between 2012 and 2016 were invited for the final follow-up examinations in 2019. Medical records and surgical parameter data were collected for analysis. Multicollinearity analysis and feature importance ranking were used to select the most predictive features. The following algorithms were used: least absolute shrinkage and selection operator, random forest, extremely randomised regression trees (extraTrees), gradient boosting machine and extreme gradient boosting. The root mean square error (RMSE) and mean absolute error (MAE) for each ML model were evaluated.Results In total, 873 eyes from 440 patients with complete records were included in this study. The long-term UDVA (logarithm of the minimum angle of resolution) distribution at the final follow-up ranged from −0.1760 to 0.7960. The extraTrees model outperformed the other four models, with RMSE and MAE of 0.1162 and 0.0850, respectively. Additionally, some features, including spherical equivalent, lenticular optical zone, added manifest refraction, preoperative corrected distance visual acuity and cap thickness, had moderate-to-strong effects on the average UDVA prediction using the extraTrees model.Conclusion Long-term UDVA in myopic eyes corrected by SMILE can be effectively predicted using ML technologies, particularly the extraTrees model. However, more features and samples for the prediction model need to be explored to improve accuracy. Otherwise, there was a limitation in this research that sphere and cylinder refraction were treated as independent variables. But, the proportion of astigmatism to spherical refraction is relatively low, less than 1/5. Consequently, this does not lead to the incorrectness of our results, but they are weakened by this.",
  "authors": [
    {
      "affiliations": [
        "Zhongshan Ophthalmic Center, Sun Yat-sen University, WHO Collaborating Centre for Eye Care and Vision, State Key Laboratory of Ophthalmology, Guangdong Provincial Key Laboratory of Ophthalmology and Visual Science, Guangdong Provincial Clinical Research Center for Ocular Diseases, Guangzhou, China",
        "Department of Ophthalmology, the Second People's Hospital of Foshan, Foshan, China"
      ],
      "name": "Xiaonan Yang"
    },
    {
      "affiliations": [
        "Zhongshan Ophthalmic Center, Sun Yat-sen University, WHO Collaborating Centre for Eye Care and Vision, State Key Laboratory of Ophthalmology, Guangdong Provincial Key Laboratory of Ophthalmology and Visual Science, Guangdong Provincial Clinical Research Center for Ocular Diseases, Guangzhou, China"
      ],
      "name": "Lanqin Zhao"
    },
    {
      "affiliations": [
        "Zhongshan Ophthalmic Center, Sun Yat-sen University, WHO Collaborating Centre for Eye Care and Vision, State Key Laboratory of Ophthalmology, Guangdong Provincial Key Laboratory of Ophthalmology and Visual Science, Guangdong Provincial Clinical Research Center for Ocular Diseases, Guangzhou, China"
      ],
      "name": "Qiting Feng"
    },
    {
      "affiliations": [
        "Zhongshan Ophthalmic Center, Sun Yat-sen University, WHO Collaborating Centre for Eye Care and Vision, State Key Laboratory of Ophthalmology, Guangdong Provincial Key Laboratory of Ophthalmology and Visual Science, Guangdong Provincial Clinical Research Center for Ocular Diseases, Guangzhou, China"
      ],
      "name": "Xiaohang Wu"
    },
    {
      "affiliations": [
        "Department of Ophthalmology, Shenzhen People’s Hospital, Second Clinical Medical College of Jinan University, First Affiliated Hospital of Southern University of Science and Technology, Shenzhen, China"
      ],
      "name": "Yi Xie"
    },
    {
      "affiliations": [
        "Zhongshan Ophthalmic Center, Sun Yat-sen University, WHO Collaborating Centre for Eye Care and Vision, State Key Laboratory of Ophthalmology, Guangdong Provincial Key Laboratory of Ophthalmology and Visual Science, Guangdong Provincial Clinical Research Center for Ocular Diseases, Guangzhou, China"
      ],
      "name": "Dongyuan Yun"
    },
    {
      "affiliations": [
        "Zhongshan Ophthalmic Center, Sun Yat-sen University, WHO Collaborating Centre for Eye Care and Vision, State Key Laboratory of Ophthalmology, Guangdong Provincial Key Laboratory of Ophthalmology and Visual Science, Guangdong Provincial Clinical Research Center for Ocular Diseases, Guangzhou, China"
      ],
      "name": "Jiyuan Yin"
    },
    {
      "affiliations": [
        "Guangzhou Twelfth People’s Hospital, Guangzhou, China"
      ],
      "name": "Haiqin Lin"
    },
    {
      "affiliations": [
        "Zhongshan Ophthalmic Center, Sun Yat-sen University, WHO Collaborating Centre for Eye Care and Vision, State Key Laboratory of Ophthalmology, Guangdong Provincial Key Laboratory of Ophthalmology and Visual Science, Guangdong Provincial Clinical Research Center for Ocular Diseases, Guangzhou, China"
      ],
      "name": "Quan Liu"
    },
    {
      "affiliations": [
        "Zhongshan Ophthalmic Center, Sun Yat-sen University, WHO Collaborating Centre for Eye Care and Vision, State Key Laboratory of Ophthalmology, Guangdong Provincial Key Laboratory of Ophthalmology and Visual Science, Guangdong Provincial Clinical Research Center for Ocular Diseases, Guangzhou, China",
        "Hainan Eye Hospital and Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-sen University, Haikou, China",
        "Center for Precision Medicine and Department of Genetics and Biomedical Informatics, Zhongshan School of Medicine, Sun Yat-sen University, Guangzhou, China"
      ],
      "name": "Haotian Lin"
    }
  ],
  "title": "Prediction of long-term uncorrected distance visual acuity in surgically SMILE corrected myopic eyes using machine learning",
  "uid": "8687d938-1e7a-528a-8443-ddb8924694e7"
}