首页> 外文期刊>International Journal of Biometeorology: Journal of the International Society of Biometeorology >The spatial distribution of BUN reference values of Chinese healthy adults: a cross-section study
【24h】

The spatial distribution of BUN reference values of Chinese healthy adults: a cross-section study

机译:中国健康成年人面包参考值的空间分布:横截面研究

获取原文
获取原文并翻译 | 示例
           

摘要

The blood urea nitrogen (BUN) is generally regarded as a significant serum marker in estimating renal function. This study aims to explore the geographical distribution of BUN reference values of Chinese healthy adults, and provide a scientific basis for determining BUN reference values of Chinese healthy adults of different regions according to local conditions. A total of 25,568 BUN reference values of healthy adults from 241 Chinese cities were collected in this study, and 17 geographical indices were selected as explanatory variables. The correlation analysis was used to examine the significance between BUN reference value and geographical factors, then five significant indices were extracted to build two predictive models, including principal component analysis (PCA) and support vector regression (SVR) model, then the optimal model was selected by model test to predict BUN reference values of the whole China, finally the distribution map was produced. The results show that BUN reference value of Chinese healthy adult was characteristically associated with latitude, altitude, annual mean temperature, annual mean relative humidity, and annual precipitation. The model test shows, compared with SVR model, the PCA model possesses superior simulative and predictive ability. The distribution map shows that the BUN reference values of Chinese healthy adult are lower in the east and higher in the west. These results indicate that the BUN reference value is significantly affected by geographical environment, and the BUN reference values of different regions could be seen clearly on distribution map.
机译:血液尿素氮(BUN)通常被认为是估计肾功能的重要血清标记物。本研究旨在探讨中国健康成年人面包参考价值的地理分布,并根据当地条件确定不同地区的中国健康成人的面包参考价值的科学依据。在本研究中收集了来自241个中国城市的健康成年人的25,568个面包参考价值,并选择了17个地理指标作为解释性变量。使用相关性分析来检查Bun参考值和地理因素之间的意义,然后提取五个重要指标来构建两个预测模型,包括主成分分析(PCA)和支持向量回归(SVR)模型,然后是最佳模型通过模型测试选择以预测整个中国的面包参考值,最后产生了分布图。结果表明,中国健康成人的面包参考价值与纬度,高度,年平均温度,年平均相对湿度和年降水相关。与SVR模型相比,模型测试显示,PCA模型具有卓越的模拟和预测能力。分布图显示中国健康成人的Bun参考值在东部和较高的西方较低。这些结果表明BUN参考值受到地理环境的显着影响,并且可以在分布图上清楚地看到不同区域的BUN参考值。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号