一秒率、殘總百分比及功能殘氣量參考值的地理分布
本文選題:醫(yī)學(xué)指標(biāo)參考值 + 地理因素。 參考:《陜西師范大學(xué)》2010年碩士論文
【摘要】: 目的:一秒率、殘總百分比和功能殘氣量參考值是肺功能檢查的重要指標(biāo),常用于判斷氣流阻塞的程度,為疾病的診斷和防治提供依據(jù)。由于國內(nèi)外缺乏一秒率、殘總百分比和功能殘氣量參考值的統(tǒng)一標(biāo)準(zhǔn),嚴(yán)重影響了臨床診斷的準(zhǔn)確性。許多醫(yī)學(xué)工作者只是測定了某些地區(qū)的一秒率、殘總百分比和功能殘氣量參考值,有的只是簡單的描述了一秒率、殘總百分比和功能殘氣量參考值與地理因素的定性的關(guān)系,對于它們之間的專題化,定量化研究未見報道過。方法:本文選取有關(guān)地理文獻(xiàn)的六項地理指標(biāo),即為海拔高度、年日照時數(shù)、年平均氣溫、氣溫年較差、年平均相對濕度、年降水量作為影響因素進(jìn)行研究。探討了不同年齡、不同性別中國人的一秒率、殘總百分比和功能殘氣量參考值與其六項地理因素之間的關(guān)系。并以整個中國為研究區(qū)域,借助GIS中的地統(tǒng)計方法繪制出醫(yī)學(xué)指標(biāo)參考值的地理分布圖。 結(jié)果:本文利用因子分析的方法研究了老年前期男性一秒率參考值、中年男性殘總百分比參考值、老年男性殘總百分比參考值與地理因素的關(guān)系,建立了數(shù)學(xué)模型,同時利用數(shù)學(xué)模型預(yù)測出未知點的醫(yī)學(xué)指標(biāo)參考值。 老年前期男性一秒率參考值與地理因素之間的因子分析回歸模型為:Y=77.93-0.0004518X1-0.0005240X2+0.05639X3-0.01615X4+0.03800X5+0.0003352X6±4.333 中年男性殘總百分比參考值與地理因素之間的因子分析回歸模型為:Y=28.49-0.0007474x1-0.0002139x2+0.04396x3+0.03615x4+0.02961x5+0.0005054x6±4.552 老年男性殘總百分比參考值與地理因素之間的因子分析回歸模型為:Y=33.49-0.001319x1-0.0003431x2+0.09287x3-0.01044x4+0.04255x5 +0.001286x6±4.856 通過建立BP人工神經(jīng)網(wǎng)絡(luò),選取對醫(yī)學(xué)指標(biāo)參考值影響比較大的地理因素,研究了中年男性一秒率參考值、中年女性一秒率參考值、中年女性殘總百分比參考值、中年功能殘氣量與地理因素的關(guān)系。 研究中年男性一秒率參考值與地理因素的關(guān)系,選取年日照時數(shù)、年平均氣溫、氣溫年較差、年相對濕度及年降水量為輸入數(shù)據(jù),構(gòu)建BP人工神經(jīng)網(wǎng)絡(luò),訓(xùn)練次數(shù)為1500次時效果最好。 研究中年女性一秒率參考值與地理因素的關(guān)系,選取日照時數(shù)、年平均氣溫、氣溫年較差、年相對濕度、年降水量為輸入數(shù)據(jù),構(gòu)建BP人工神經(jīng)網(wǎng)絡(luò),訓(xùn)練次數(shù)為1200次時效果最好。 研究中年女性殘總百分比參考值與地理因素的關(guān)系,選取海拔高度、年日照時數(shù)、年平均氣溫、年相對濕度為輸入數(shù)據(jù),構(gòu)建BP人工神經(jīng)網(wǎng)絡(luò),訓(xùn)練次數(shù)為1500次時效果最好。 研究中年功能殘氣量與地理因素的關(guān)系,選取年日照時數(shù)、年平均氣溫、氣溫年較差、年相對濕度、年降水量為輸入數(shù)據(jù),構(gòu)建BP人工神經(jīng)網(wǎng)絡(luò),訓(xùn)練次數(shù)為700次時效果最好。 結(jié)論:以全國作為研究區(qū)域,選取全國4383個地區(qū)作為基礎(chǔ),利用數(shù)學(xué)模型或建立BP人工神經(jīng)網(wǎng)絡(luò)獲得未知點的醫(yī)學(xué)指標(biāo)參考值,借助于GIS地統(tǒng)計方法,繪制出醫(yī)學(xué)指標(biāo)參考值的地理分布圖。因此,如果知道了某一地區(qū)的地理因素值就可以通過數(shù)學(xué)模型或者建立BP人工神經(jīng)網(wǎng)絡(luò)獲得這一地區(qū)的醫(yī)學(xué)指標(biāo)參考值,也可以通過查詢醫(yī)學(xué)指標(biāo)參考值地理分布圖獲得。
[Abstract]:Objective : The reference value of one - second rate , residual total percentage and functional residual air quantity is an important index of pulmonary function examination , which is often used to judge the degree of obstruction of airflow and provide a basis for the diagnosis and prevention of diseases .
Results : In this paper , the relationship between the reference value , the reference value of the total percentage of male residue in middle age , the reference value of the total percentage of male residue in the elderly and the geographical factors were studied by means of factor analysis . The mathematical model was established , and the reference value of medical index of unknown point was predicted by mathematical model .
The regression model of factor analysis between the reference value and geographical factors for male one second rate in the early age is Y = 77.93 - 0.000004518X1 - 0.000005240X2 + 0.05639X3 - 0.01615X4 + 0.03800X5 + 0.00332X6 鹵 4.333
The regression model of factor analysis between the reference value of male residual percentage and geographical factors in middle age is : Y = 28.49 - 0.000007474x1 - 0.000002139x2 + 0.04396x3 + 0.03615x4 + 0.02961x + 0.000554x6 鹵 4.552
The regression model of factor analysis between the reference value and geographical factors for male residual percentage in the elderly is : Y = 33.49 - 0.001319x1 - 0.000003431x2 + 0.09287x3 - 0.01044x4 + 0.04255x5 + 0.001286x6 鹵 4.856
By establishing the BP artificial neural network and selecting the geographical factors which influence the reference value of medical index , the relation between the reference value of the first - second rate of middle - aged man , the reference value of middle - aged female , the reference value of female residual percentage in middle age , the reference value of female residual percentage in middle age , and the geographical factors of middle - aged functional residual capacity is studied .
The relationship between the reference value and geographical factors in the middle - aged man was studied , the annual sunshine duration , the annual average temperature , the annual average temperature , the annual relative humidity and the annual precipitation were selected as input data , the BP artificial neural network was constructed , and the training frequency was 1500 times .
In this paper , the relationship between the reference value and geographical factors of the first - second rate of female in middle - aged women was studied , the sunshine hours , annual average temperature , annual temperature , annual relative humidity and annual precipitation were selected as input data , BP artificial neural network was constructed , and the training frequency was 1200 times .
In this paper , the relationship between the reference value of total percentage of female residue and geographical factors in middle - aged women was studied . The data of altitude , annual sunshine duration , annual average temperature and annual relative humidity were selected as input data . BP artificial neural network was constructed , and the training frequency was 1500 times .
The relationship between the function residual capacity and geographical factors in middle - aged and middle - aged is studied . The annual sunshine duration , annual average temperature , annual temperature difference , annual relative humidity and annual precipitation amount are input data , BP artificial neural network is constructed , and the training frequency is 700 times , and the effect is best .
Conclusion : Using a mathematical model or establishing BP artificial neural network to obtain the reference value of medical index of unknown points , the geographical distribution map of medical index reference value can be obtained by using mathematical model or BP artificial neural network . Therefore , if the geographical factor value of a region is known , the reference value of medical index can be obtained through mathematical model or BP artificial neural network .
【學(xué)位授予單位】:陜西師范大學(xué)
【學(xué)位級別】:碩士
【學(xué)位授予年份】:2010
【分類號】:R188
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