Juvenile myopia study using modern variable selection methods

doi:10.7523/j.issn.2095-6134.2015.06.002

›› 2015, Vol. 32 ›› Issue (6): 728-734.DOI: 10.7523/j.issn.2095-6134.2015.06.002

Juvenile myopia study using modern variable selection methods

HAI Bao¹, LI Shiming², LIU Luoru³, SHEN Liyong¹, ZHANG Sanguo¹, LI Siyuan², LI He³, KANG Mengtian², SUN Yunyun², MENG Bo², ZHANG Qingzhao¹

1. School of Mathematical Sciences, University of Chinese Academy of Sciences, Beijing 101408, China;
2. Beijing Tongren Eye Center, Beijing Tongren Hospital, Capital Medical University, Beijing 100730, China;
3. Anyang Eye Hospital, Anyang 455000, Henan, China

Received:2014-09-25 Revised:2015-03-16 Online:2015-11-15

Abstract

Abstract:

In this work we used some variable-selection techniques to find out the relevant factors that cause adolescent myopia, and established probabilistic models for myopia prediction. The research is based on a medical dataset consisting of two parts: medical measurement data of the youths and data on daily living habits obtained by questionnaire survey. We used some modern variable selection methods and the ROC curve to evaluate different modes. The results show that gender, axial length, corneal curvature, weekday sleeping time, distance vision without glasses, and remote adjustment reaction have important influences on adolescent myopia.

Key words: variable selection, classical logistic regression, Lasso, MCP, ROC curve

CLC Number:

HAI Bao, LI Shiming, LIU Luoru, SHEN Liyong, ZHANG Sanguo, LI Siyuan, LI He, KANG Mengtian, SUN Yunyun, MENG Bo, ZHANG Qingzhao. Juvenile myopia study using modern variable selection methods[J]. , 2015, 32(6): 728-734.

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Juvenile myopia study using modern variable selection methods

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