血常規(guī)正常參考值與地理因素的非線性分析
發(fā)布時(shí)間：2018-10-10 17:10
【摘要】： 選題意義:血紅蛋白和紅細(xì)胞計(jì)數(shù)正常參考值指標(biāo)在臨床中有著至關(guān)重要的作用,可以用來確切的反應(yīng)不同年齡不同性別的人是否有無貧血以及貧血的程度。而血紅蛋白和紅細(xì)胞計(jì)數(shù)與人們長(zhǎng)期生活的地理環(huán)境(溫度、濕度、海拔、日照、降水量、水質(zhì)和土壤等)有著密切的關(guān)系,本論文研究了不同年齡不同性別的血紅蛋白和紅細(xì)胞計(jì)數(shù)正常參考值與地理因素的密切關(guān)系,揭示其分布規(guī)律,為臨床的診斷提供可靠的科學(xué)依據(jù)。 研究的理論依據(jù)、方法和過程:為探討各血常規(guī)指標(biāo)正常參考值與所選各種地理因素復(fù)雜的關(guān)系,本論文通過大量檢索文獻(xiàn),以及向有關(guān)單位求購(gòu)的方法,收集了全中國(guó)各地區(qū)不同年齡不同性別的血紅蛋白和紅細(xì)胞計(jì)數(shù)正常參考值的醫(yī)學(xué)指標(biāo),主要為青年男性血紅蛋白正常參考值、老年女性血紅蛋白正常參考值、老年男性血紅蛋白正常參考值、青年男性紅細(xì)胞計(jì)數(shù)正常參考值、青年女性紅細(xì)胞計(jì)數(shù)正常參考值、中年男性紅細(xì)胞計(jì)數(shù)正常參考值、中年女性紅細(xì)胞計(jì)數(shù)正常參考值和老年前期男性紅細(xì)胞計(jì)數(shù)正常參考值8項(xiàng)指標(biāo)。根據(jù)國(guó)家測(cè)繪局?jǐn)?shù)據(jù)中心提供的共享資料,國(guó)家氣象局?jǐn)?shù)據(jù)中心提供的共享資料及有關(guān)地理著作、詞典和相關(guān)文獻(xiàn),收集了五項(xiàng)地理因素指標(biāo):海拔高度(X_1)、年日照時(shí)數(shù)(X_2)、年平均氣溫(X_3)、年平均相對(duì)濕度(X_4)、年降水量(X_5)。對(duì)醫(yī)學(xué)指標(biāo)與這些地理學(xué)指標(biāo)進(jìn)行了線性和非線性的研究,從而建立它們之間的復(fù)雜線性模型和非線性BP神經(jīng)網(wǎng)絡(luò)模型。其線性模型主要為因子分析模型和趨勢(shì)面分析模型,非線性模型為BP神經(jīng)網(wǎng)絡(luò)模型。應(yīng)用以上的模型以及模型中的參數(shù),代入了以選擇1288個(gè)觀測(cè)點(diǎn)的相應(yīng)的地理因素指標(biāo),可計(jì)算出這1288個(gè)地方不同年齡不同性別的血紅蛋白和紅細(xì)胞計(jì)數(shù)正常參考值,借助GIS空間分析中的地統(tǒng)計(jì)分析模塊,通過克里格(Kriging)插值法精確的內(nèi)插出血常規(guī)指標(biāo)正常參考值的地理分布圖。 研究取得的結(jié)論與創(chuàng)新之處:如果知道了中國(guó)某地的地理因素,就可用建立模型估算該地區(qū)不同年齡不同性別的血紅蛋白和紅細(xì)胞計(jì)數(shù)正常參考值,從地理分布圖也可得到中國(guó)任何地方的正常參考值。在應(yīng)用的三種模型里,發(fā)現(xiàn)應(yīng)用非線性模型得出的精確度是最高的,更能很好地為臨床診斷提供依據(jù)。 本論文研究方法的創(chuàng)新之處在于對(duì)不同年齡段不同性別的人的血紅蛋白和紅細(xì)胞計(jì)數(shù)的正常參考值與地理因素進(jìn)行了線性及非線性的定量化研究,與過去應(yīng)用簡(jiǎn)單的相關(guān)分析和回歸分析方法相比較,降低了人為的干擾,提高了模擬的精度。以中國(guó)整個(gè)區(qū)域?yàn)檠芯繉?duì)象,借助GIS空間分析的方法,應(yīng)用地統(tǒng)計(jì)分析模塊中的克里格插值法,精確的繪制出正常參考值的趨勢(shì)分布圖。本論文的研究方法和研究成果將豐富臨床醫(yī)學(xué),臨床檢驗(yàn)學(xué),血液學(xué),醫(yī)學(xué)地理學(xué),環(huán)境醫(yī)學(xué)及生理學(xué)的內(nèi)容。
[Abstract]:Significance: hemoglobin and normal reference values of red blood cell count play an important role in clinical practice, which can be used to determine whether or not people of different ages and sexes have anemia and the degree of anemia. Hemoglobin and red blood cell count are closely related to the geographical environment (temperature, humidity, altitude, sunshine, precipitation, water quality, soil, etc.) where people live for a long time. This paper studies the close relationship between the normal reference value of hemoglobin and red blood cell count of different ages and sexes and geographical factors, and reveals its distribution rule, which provides a reliable scientific basis for clinical diagnosis. The theoretical basis, method and process of the study: in order to explore the complex relationship between the normal reference value of each blood routine index and various geographical factors selected, this paper through a large number of retrieval literature, as well as the method of seeking purchase from relevant units, The normal reference values of hemoglobin and red blood cell count of different ages and sexes in all regions of China were collected, mainly for young men and elderly women. The normal reference value of hemoglobin in old men, the normal reference value of red blood cell count in young men, the normal reference value of red blood cell count in young women, the normal reference value of red blood cell count in middle-aged men, The normal reference value of red blood cell count in middle aged women and the normal reference value of red blood cell count in male in pre-old age were 8 indexes. According to the shared information provided by the data center of the State Survey and Mapping Bureau, the shared data provided by the data center of the National Meteorological Administration and relevant geographical works, dictionaries and related documents, Five geographical factors were collected: altitude (X _ 1), annual sunshine hours (X _ S _ 2), annual mean temperature (X _ S _ 3), annual average relative humidity (X _ 4), annual precipitation (X _ 5). In this paper, the linear and nonlinear models of medical indexes and these geographical indexes are studied, and the complex linear models and nonlinear BP neural network models between them are established. The linear model is mainly factor analysis model and trend surface analysis model, and the nonlinear model is BP neural network model. Using the above model and the parameters in the model, the corresponding geographical factor indexes of 1288 observation points were added to calculate the normal reference values of hemoglobin and red blood cell count for different ages and genders in these 128 places. With the help of geostatistical analysis module in GIS spatial analysis, the geographical distribution map of normal reference value of blood routine index is accurately interpolated by Kriging (Kriging) interpolation method. Conclusions and innovations of the study: if we know the geographical factors in a certain place in China, we can establish a model to estimate the normal reference values of hemoglobin and red blood cell count for different ages and genders in this area. Normal reference values for any part of China can also be obtained from geographical maps. Among the three models applied, it is found that the accuracy of the nonlinear model is the highest, which can provide the basis for clinical diagnosis. The innovation of this research method lies in the linear and nonlinear quantitative study of the normal reference values and geographical factors of hemoglobin and red blood cell count of people of different ages and different genders. Compared with the simple correlation analysis and regression analysis, the artificial interference is reduced and the simulation accuracy is improved. Taking the whole region of China as the research object, using the method of GIS spatial analysis and using the Kriging interpolation method in the geostatistical analysis module, the trend distribution map of the normal reference value is drawn accurately. The research methods and results of this paper will enrich the contents of clinical medicine, clinical laboratory, hematology, medical geography, environmental medicine and physiology.
【學(xué)位授予單位】：陜西師范大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2008
【分類號(hào)】：R188
本文編號(hào)：2262601
[Abstract]:Significance: hemoglobin and normal reference values of red blood cell count play an important role in clinical practice, which can be used to determine whether or not people of different ages and sexes have anemia and the degree of anemia. Hemoglobin and red blood cell count are closely related to the geographical environment (temperature, humidity, altitude, sunshine, precipitation, water quality, soil, etc.) where people live for a long time. This paper studies the close relationship between the normal reference value of hemoglobin and red blood cell count of different ages and sexes and geographical factors, and reveals its distribution rule, which provides a reliable scientific basis for clinical diagnosis. The theoretical basis, method and process of the study: in order to explore the complex relationship between the normal reference value of each blood routine index and various geographical factors selected, this paper through a large number of retrieval literature, as well as the method of seeking purchase from relevant units, The normal reference values of hemoglobin and red blood cell count of different ages and sexes in all regions of China were collected, mainly for young men and elderly women. The normal reference value of hemoglobin in old men, the normal reference value of red blood cell count in young men, the normal reference value of red blood cell count in young women, the normal reference value of red blood cell count in middle-aged men, The normal reference value of red blood cell count in middle aged women and the normal reference value of red blood cell count in male in pre-old age were 8 indexes. According to the shared information provided by the data center of the State Survey and Mapping Bureau, the shared data provided by the data center of the National Meteorological Administration and relevant geographical works, dictionaries and related documents, Five geographical factors were collected: altitude (X _ 1), annual sunshine hours (X _ S _ 2), annual mean temperature (X _ S _ 3), annual average relative humidity (X _ 4), annual precipitation (X _ 5). In this paper, the linear and nonlinear models of medical indexes and these geographical indexes are studied, and the complex linear models and nonlinear BP neural network models between them are established. The linear model is mainly factor analysis model and trend surface analysis model, and the nonlinear model is BP neural network model. Using the above model and the parameters in the model, the corresponding geographical factor indexes of 1288 observation points were added to calculate the normal reference values of hemoglobin and red blood cell count for different ages and genders in these 128 places. With the help of geostatistical analysis module in GIS spatial analysis, the geographical distribution map of normal reference value of blood routine index is accurately interpolated by Kriging (Kriging) interpolation method. Conclusions and innovations of the study: if we know the geographical factors in a certain place in China, we can establish a model to estimate the normal reference values of hemoglobin and red blood cell count for different ages and genders in this area. Normal reference values for any part of China can also be obtained from geographical maps. Among the three models applied, it is found that the accuracy of the nonlinear model is the highest, which can provide the basis for clinical diagnosis. The innovation of this research method lies in the linear and nonlinear quantitative study of the normal reference values and geographical factors of hemoglobin and red blood cell count of people of different ages and different genders. Compared with the simple correlation analysis and regression analysis, the artificial interference is reduced and the simulation accuracy is improved. Taking the whole region of China as the research object, using the method of GIS spatial analysis and using the Kriging interpolation method in the geostatistical analysis module, the trend distribution map of the normal reference value is drawn accurately. The research methods and results of this paper will enrich the contents of clinical medicine, clinical laboratory, hematology, medical geography, environmental medicine and physiology.
【學(xué)位授予單位】：陜西師范大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2008
【分類號(hào)】：R188
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