[1]李孟姣,葛淼,王聪霞,等.基于神经网络的血浆纤维蛋白原参考值与地理因素的关系[J].南方医科大学学报,2016,(08):1062.
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基于神经网络的血浆纤维蛋白原参考值与地理因素的关系()
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《南方医科大学学报》[ISSN:1673-4254/CN:44-1627/R]

卷:
期数:
2016年08期
页码:
1062
栏目:
出版日期:
2016-08-05

文章信息/Info

Title:
Relationship between reference values of fibrinogen and geographical factors based on neural network analysis
作者:
李孟姣葛淼王聪霞岑敏仪姜吉琳何进伟林倩怡刘鑫
关键词:
血浆纤维蛋白原BP人工神经网络地统计分析空间分析
Keywords:
fibrinogen BP neural network geostatistical analyst spatial analysis
摘要:
目的分析我国健康成年人血浆纤维蛋白原参考值与地理因素之间的关系,为制定血浆纤维蛋白原的统一标准提供科学 依据。方法收集了103个市县10701例健康成年人血浆纤维蛋白原参考值,运用相关分析方法研究其与地势、气候、土壤有关 的18项地理因素之间的关系。选取与血浆纤维蛋白原参考值有相关性的地理因素进行BP神经网络建模,借用析取克里金插 值法拟合出中国健康成年人血浆纤维蛋白原参考值的地理分布图。运用MATLAB软件,通过5层神经网络,选取含11个隐含 层的2000次训练自学习建立模拟规则,用此规则模拟健康成年人血浆纤维蛋白原参考值与地理环境的神经网络模型。结果 我国健康成年人血浆纤维蛋白原参考值与纬度、年日照时数、年平均气温、年平均相对湿度、年降水量、气温年较差、表土石砾含 量、表土(粉土)阳离子交换量8项地理因素呈显著相关的关系。我国健康成年人血浆纤维蛋白原参考值分布图呈现南高北低, 东高西低的特征。结论若已知某地各项地理指标的值,则可通过构建神经网络模型或绘制地理分布图得出该区的健康成年人 血浆纤维蛋白原参考值。
Abstract:
Objective To analyze the relationship between the reference values of fibrinogen (FIB) in healthy Chinese adults and geographical factors to provide scientific evidences for establishing the uniform standard. Methods The reference values of FIB of 10701 Chinese healthy adults from 103 cities were collected to investigate their relationship with 18 geographical factors including spatial index, terrain index, climate index, and soil index. Geographical factors that significantly correlated with the reference values were selected for constructing the BP neural network model. The spatial distribution map of the reference value of FIB of healthy Chinese adults was fitted by disjunctive kriging interpolation. We used the 5-layer neural network and selected 2000 times of training covering 11 hidden layers to build the simulation rule for simulating the relationship between FIB and geographical environmental factors using the MATLAB software. Results The reference value of FIB in healthy Chinese adults was significantly correlated with the latitude, sunshine duration, annual average temperature, annual average relative humidity, annual precipitation, annual range of air temperature, average annual soil gravel content, and soil cation exchange capacity (silt). The artificial neural networks were created to analyze the simulation of the selected indicators of geographical factors. The spatial distribution map of the reference values of FIB in healthy Chinese adults showed a distribution pattern that FIB levels were higher in the South and lower in the North, and higher in the East and lower in the West. Conclusion When the geographical factors of a certain area are known, the reference values of FIB in healthy Chinese adults can be obtained by establishing the neural network mode or plotting the spatial distribution map.
更新日期/Last Update: 1900-01-01