Abstract:
:According to literature, myopia has become the second most common eye disease in China, and the incidence of myopia is increasing year by year, and showing a trend of younger age. Previous researches have shown that the occurrence of myopia is mainly determined by poor eye habits, including reading and writing posture, eye length, and so on, and parents' heredity. In order to better prevent myopia in adolescents, this paper studies the influence of related factors on myopia incidence in adolescents based on machine learning method. A feature selection method based on both univariate correlation analysis and multivariate correlation analysis is used to better construct a feature sub-set for model training. A method based on GBRT is provided to help fill in missing items in the original data. The prediction model is built based on SVM model. Data transformation has been used to improve the prediction accuracy. Results show that our method could achieve reasonable performance and accuracy.
journal_name
Int J Environ Res Public Healthauthors
Yang X,Chen G,Qian Y,Wang Y,Zhai Y,Fan D,Xu Ydoi
10.3390/ijerph17020463subject
Has Abstractpub_date
2020-01-10 00:00:00issue
2eissn
1661-7827issn
1660-4601pii
ijerph17020463journal_volume
17pub_type
杂志文章abstract::Objective: To investigate the action of osteopathic manipulative treatment on the muscular activity of the stomatognathic apparatus by using surface electromyography (sEMG). Material and Methods: Surface electromyography (sEMG) was performed on the masseter and anterior temporalis muscles of 120 subjects (73 F; 47 M),...
journal_title:International journal of environmental research and public health
pub_type: 杂志文章,随机对照试验
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journal_title:International journal of environmental research and public health
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更新日期:2017-07-26 00:00:00
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pub_type: 杂志文章,评审
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pub_type: 杂志文章
doi:10.3390/ijerph15102220
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更新日期:2020-05-30 00:00:00
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更新日期:2013-07-19 00:00:00
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pub_type: 杂志文章
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