[1] |
HOLDEN B A, FRICKE T R, WILSON D A, et al. Global prevalence of myopia and high myopia and temporal trends from 2000 through 2050[J]. Ophthalmology, 2016, 123(5): 1036-1042. |
[2] |
中华人民共和国国家卫生健康委员会宣传司. 儿童青少年总体近视率为53.6%我国将更有针对性地开展近视干预[EB/OL]. (2019-5-18). [2020-10-20]. http://www.nhc.gov.cn/xcs/s7847/201905/11c679a40eb3494cade977f65f1c3740.shtml. |
[3] |
World Health Organization. The impact of myopia and high myopia[EB/OL]. (2015-03-16). [2020-10-20]. https://www.who.int/blindness/causes/MyopiaReportforWeb.pdf. |
[4] |
ZADNIK K, SINNOTT L T, COTTER S A, et al. Prediction of juvenile-onset myopia[J]. JAMA Ophthalmol, 2015, 133(6): 683-689. |
[5] |
MUTTI D O, SINNOTT L T, MITCHELL G L, et al. Relative peripheral refractive error and the risk of onset and progression of myopia in children[J]. Invest Ophthalmol Vis Sci, 2011, 52(1): 199-205. |
[6] |
SAW S M, SHANKAR A, TAN S B, et al. A cohort study of incident myopia in Singaporean children[J]. Invest Ophthalmol Vis Sci, 2006, 47(5): 1839-1844. |
[7] |
TONG L, CHAN Y H, GAZZARD G, et al. Longitudinal study of anisometropiain Singaporean school children[J]. Invest Ophthalmol Vis Sci, 2006, 47(8): 3247-3252. |
[8] |
OJAIMI E, ROSE K A, SMITH W, et al. Methods for a population-based study of myopia and other eye conditions in school children: the Sydney myopia study[J]. Ophthalmic Epidemiol, 2005, 12(1): 59-69. |
[9] |
马莹琰. 上海儿童近视流行及预测相关研究[D]. 上海: 上海交通大学, 2016. |
MA Ying-yan. Epidemiolgical studies of myopia in shanghai children and relevant methods for myopia prediction[D]. Shanghai: Shanghai Jiao Tong University, 2016. |
[10] |
MA Ying-yan, ZOU Hai-dong, LIN Sen-lin, et al. Cohort study with 4-year follow-up of myopia and refractive parameters in primary schoolchildren in Baoshan district, Shanghai[J]. Clin Exp Ophthalmol, 2018, 46(8): 861-872. |
[11] |
LI Shi-ming, LI He, LI Si-yuan, et al. Time outdoors and myopia progression over 2 years in Chinese children: The Anyang childhood eye study[J]. Invest Ophthalmol Vis Sci, 2015, 56(8): 4734-4740. |
[12] |
HE Ming-guang, ZENG Jun-wen, LIU Yi-zhi, et al. Refractive error and visual impairment in urban children in southern china[J]. Invest Ophthalmol Vis Sci, 2004, 45(3): 793-799. |
[13] |
张加裕, 王强, 林思思, 等. 温州地区7~14岁儿童近视眼患病率和眼轴及其相关因素分析[J]. 中华眼科杂志, 2016, 52(7): 514-519. |
ZHANG Jia-yu, WANG Qiang, LIN Si-si, et al. Analysis of myopia and axial length changes and relevant factors of children aged 7 to 14 years in Wenzhou[J]. Chinese Journal of Ophthalmology, 2016, 52(7): 514-519. |
[14] |
元力, 万博, 鲍永珍. 近视眼人群屈光状态与主视眼的相关性研究[J]. 中华眼科杂志, 2020, 56(9): 693-698. |
YUAN Li, WAN Bo, BAO Yong-zhen. Association between ocular dominance and refraction in myopic subjects[J]. Chinese Journal of Ophthalmology, 2020, 56(9): 693-698. |
[15] |
GIANNATOU E. Myopia study, statistics for business analytics II[EB/OL]. [2017-02-01]. https://github.com/evagian/Myopia-Study-classification-logistic-regression-R. |
[16] |
ZADNIK K, FRIEDMAN N E, QUALLEY P A, et al. Ocular predictors of the onset of juvenile myopia[J]. Invest Ophthalmol Vis Sci, 1999, 40(9): 1936-1943. |
[17] |
HOSMER D W, LEMESHOW S, STURDIVANT R X. Applied logistic regression[M]. The 3rd ed. [S.l.]: John Wiley & Sons Inc, 2013. |
[18] |
JONES-JORDAN L A, MANNY R E, COTTER S A, et al. Early childhood refractive error and parental history of myopia as predictors of myopia[J]. Invest Ophthalmol Vis Sci, 2010, 51: 115-121. |
[19] |
FRENCH A N, MITCHELL P, ROSE K A. Risk factors for incident myopia in Australian schoolchildren: the Sydney adolescent vascular and eye study[J]. Ophthalmology, 2013, 120(10): 2100-2108. |
[20] |
LIN Hao-tian, LONG E, DING Xiao-hu, et al. Prediction of myopia development among Chinese school-aged children using refraction data from electronic medical records: A retrospective, multicentre machine learning study[J]. PLOS Medicine, 2018, 15(11): 1-17. |
[21] |
COX D R. The regression analysis of binary sequences[J]. Journal of the Royal Statistical Society: Series B (Methodological), 1958, 20(2): 215-232. |
[22] |
SPEARMAN C. The proof and measurement of association between two things[J]. Am J Psychol, 1904, 15(1): 72-101. |
[23] |
KAM H T. Random decision forest[C]//Proceedings of the 3rd International Conference on Document Analysis and Recognition. Montreal, Canada: [s.n.], 1995, 1416: 278-282. |
[24] |
FREUND Y, SCHAPIRE R E. A decision-theoretic generalization of on-line learning and an application to boosting[J]. Journal of Computer and System Sciences, 1997, 55(1): 119-139. |
[25] |
BREIMAN L. Bagging predictors[J]. Machine Learning, 1996, 24(2): 123-140. |
[26] |
FRIEDMAN J H. Greedy function approximation: A gradient boosting machine[J]. Annals of Statistics, 2001: 1189-1232. |
[27] |
FRIEDMAN J H. Stochastic gradient boosting[J]. Computational Statistics & Data Analysis, 2002, 38(4): 367-378. |
[28] |
CHEN T, GUESTRIN C. Xgboost: A scalable tree boosting system[C]//Proceedings of the 22nd ACM Sigkdd International Conference on Knowledge Discovery and Data Mining. [S.l.]: ACM, 2016: 785-794. |