Publications by authors named "Rui-Jia Xu"

Taking into account the current feature extraction speed and recognition effect of intelligent diagnosis of menopausal women's health care behavior, this paper proposes to use a cross-layer convolutional neural network to extract behavior features autonomously and use support vector machine multiclass behavior classifier to classify behavior. Compared with the feature images extracted by traditional methods, the behavioral features extracted in this paper are related to the individual menopausal women and have better semantic information, and the feature description ability in the time domain and the space domain has been enhanced. Through Matlab software, using the database established in this paper to compare its feature extraction time, test classification time, and final recognition accuracy with ordinary convolutional neural networks, it is concluded that the cross-layer CNN-SVM model can ensure the speed of feature extraction.

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Increasing evidence suggests that interleukin 10 (IL 10) gene -1082 A/G (rsl800896) polymorphism may be associated with an increased risk of type 2 diabetes mellitus (T2DM). However, the results are inconsistent. The aim of this study is to analyze the association between this variant and the T2DM risk by meta-analysis.

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The association between the interleukin-6 (IL-6) gene -572 C/G (rs1800796) polymorphism and type 2 diabetes mellitus (T2DM) risk remains controversial. Thus, we performed this meta-analysis by searching PubMed, Embase, Web of Science, CBMdisc and CNKI databases until January 30, 2012. In addition, hand searching of the references of identified articles was performed.

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Epidemiological studies have evaluated the association between interleukin-6 (IL-6) gene -174 G/C polymorphism and type 1 diabetes mellitus (T1DM) risk, but results of different studies have been inconsistent. The present meta-analysis was therefore designed to clarify these controversies. PubMed, Embase and Web of Science were searched from the first available year to March 25, 2012, as well as hand searching of the references of identified articles were performed.

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It remains controversial regarding the association between interleukin-8 (IL-8) gene -251 T/A polymorphism and peptic ulcer disease (PUD) risk. Thus, a large-scale meta-analysis evaluating the precise association between this gene variant and PUD risk is required. We searched the PubMed, Embase, Web of Science, and Google Scholar until April 25, 2012.

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Increasing evidence suggests that interleukin-10 (IL-10) gene -592 C/A polymorphism may be associated with an increased risk of type 2 diabetes mellitus (T2DM). To provide a quantitative assessment of the association between this variant and risk of T2DM, we performed this meta-analysis. Systematic searches of electronic databases PubMed, Embase, Web of Science, CBMdisc and CNKI, as well as hand searching of the references of identified articles were performed.

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Background And Objectives: Epidemiological studies have evaluated the associations between interleukin-6 (IL-6) gene -174 C/G (rs1800795) and -572 C/G (rs1800796) polymorphisms and gastric cancer (GC) risk, but results and conclusions remain controversial. In order to derive a more precise estimation of the associations, we performed this meta-analysis.

Methods: A meta-analysis was conducted to estimate the associations between IL-6 gene -174 C/G and -572 C/G polymorphisms and GC risk.

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Interleukin-6 (IL-6) gene -174 G/C polymorphism has been reported to be associated with coronary heart disease (CHD), but the results remain inconclusive. The present meta-analysis was therefore designed to clarify these controversies. This meta-analysis was performed by searching PubMed, Embase and Web of Science databases.

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Background: Epidemiologic studies have evaluated the association between tumor necrosis factor-alpha (TNF-α) gene -308A/G polymorphism and the risk of acute pancreatitis (AP), but the results are inconsistent. In order to derive a more precise estimation of the associations, a meta-analysis was performed.

Materials And Methods: Systematic searches of electronic databases PubMed, Embase, and Web of Science, as well as hand searching of the references of identified articles, were performed.

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