發(fā)布時間：2018-04-09 20:43

  本文選題：肺活量　切入點：參考值　出處：《陜西師范大學(xué)》2009年碩士論文

【摘要】： 肺活量正常參考值是肺功能檢查的一項重要指標(biāo),可以用來判斷限制性通氣功能障礙程度。在臨床上,對肺活量正常參考值的增加或是減少的解釋多以病理學(xué)為主,生理學(xué)解釋也多以身高、體重、年齡以及性別等為主,很少涉及人類生存環(huán)境地形、氣候、地貌等因素對肺部器官功能的影響。而本論文的創(chuàng)新之處在于從地理環(huán)境方面出發(fā),對不同性別各年齡段的中國人肺活量正常參考值與地理因素,進行了線性與非線性的定量化研究與對比。經(jīng)過充分的檢索發(fā)現(xiàn),雖有多篇論文報道了肺活量正常參考值與海拔、溫度、濕度、風(fēng)速等地理因素的關(guān)系,但還只是定性的描述或用線性回歸分析的方法進行簡單的線性分析,像本論文這樣對肺活量正常參考值與地理因素進行專題化、定量化、線性與非線性化的研究,從整個地理環(huán)境著手,系統(tǒng)的以中國這一大的區(qū)域來研究,還未見報道。 為探討不同性別各年齡段肺活量正常參考值與所選七種地理因素復(fù)雜的關(guān)系,本論文通過大量檢索文獻,以及向有關(guān)單位求購的方法,收集了全中國各地區(qū)不同年齡不同性別的肺活量正常參考值。根據(jù)國家測繪局?jǐn)?shù)據(jù)中心提供的共享資料,國家氣象局?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,收集了七項地理因素指標(biāo):海拔高度(X_1)、年日照時數(shù)(X_2)、年平均氣溫(X_3)、年平均相對濕度(X_4)、年降水量(X_5)、氣溫年較差(X_6)、年平均風(fēng)速(X_7)。對醫(yī)學(xué)指標(biāo)與這些地理學(xué)指標(biāo)進行了線性和非線性的研究,從而建立它們之間的多元回歸模型、偏最小二乘回歸模型、嶺回歸模型、非線性回歸模型、BP人工神經(jīng)網(wǎng)絡(luò)模型。最終通過模型對比研究,尋找出肺活量正常參考值的最優(yōu)預(yù)測模型: ①預(yù)測男性兒童肺活量正常參考值運用人工神經(jīng)網(wǎng)絡(luò)模型,構(gòu)建5層神經(jīng)網(wǎng)絡(luò),訓(xùn)練次數(shù)為264次時,模型最優(yōu); ②預(yù)測女性兒童肺活量正常參考值運用偏最小二乘回歸模型,其模型為:Y=1321.21-0.043514X_1+0.010103X_2-0.25246X_3-0.75417X_4-0.013527X_5+3.83186X_6+38.61289X_7±133.50; ③預(yù)測青春期男性肺活量正常參考值運用偏最小二乘回歸模型,其模型為:(?)=3024.77-0.131640X_1+0.022388X_2+2.381548X_3-1.344117X_4-0.030850X_5+7.881706X_6+39.820870X_7±557.93; ④預(yù)測青春期女性肺活量正常參考值運用人工神經(jīng)網(wǎng)絡(luò)模型,構(gòu)建5層神經(jīng)網(wǎng)絡(luò),訓(xùn)練次數(shù)為3000次時,模型最優(yōu); ⑤預(yù)測青年男性肺活量正常參考值運用非線性回歸模型,其模型為:(?)=4890.41-0.03057X_1-0.094425X_2+27.2634X_3-1.3680X_3~2-12.4397X_4-0.1151X_5-3381.2805/X_6+18.1272X_7±255.69; ⑥預(yù)測青年女性肺活量正常參考值運用偏最小二乘回歸模型,其模型為:(?)=2692.70-0.001604X_1+0.017849X_2-2.28365X_3-1.42546X_4-0.029721X_5+1.94182X_6+12.64521X_7±114.90; ⑦預(yù)測中年男性肺活量正常參考值運用非線性回歸模型,其模型為:(?)=-1702.56+0.2226X_1+0.1971X_2-15.6680X_3+48.4351X_4-0.4567X_5+153.8167X_6-3.1040X_6~2+109.3521X_7±350.03; ⑧預(yù)測中老年女性肺活量正常參考值運用多元線性回歸模型,其模型為:(?)=3105.831-20.085X_6±230.427; ⑨預(yù)測老年男性肺活量正常參考值運用非線性回歸模型,其模型為:(?)=3184.086+171213.7967/X_5±300.33。 應(yīng)用以上的模型,代入了已選擇4383個觀測點的相應(yīng)的地理因素指標(biāo),可計算出這4383個地方不同年齡不同性別的肺活量正常參考值,借助GIS空間分析中的地統(tǒng)計分析模塊,通過克里格(Kriging)插值法精確的內(nèi)插出肺活量正常參考值的空間趨勢分布圖。如果知道了中國某地的地理因素,就可用此模型估算該地區(qū)不同年齡不同性別的肺活量正常參考值,從地理分布圖也可得到中國任何地方的正常參考值。
[Abstract]:The normal reference value of lung activity is an important index of pulmonary function examination , which can be used to judge the degree of limiting ventilation dysfunction .



In order to study the relationship between normal reference value and seven geographical factors of different age groups in different age groups , the author collected seven geographical factors , such as altitude ( X _ 1 ) , annual sunshine duration ( X _ 2 ) , annual average temperature ( X _ 3 ) , annual average relative humidity ( X _ 4 ) , annual precipitation ( X _ 5 ) , annual average temperature ( X _ 6 ) and annual average wind speed ( X _ 7 ) .



( 1 ) Using artificial neural network model to predict the normal reference value of pulmonary activity of male children , construct 5 - layer neural network , the training times are 264 times , the model is optimal ;



( 2 ) The regression model was used to predict the normal reference value of pulmonary activity in female children . The model was Y = 130.21 - 0.043514X _ 1 + 0.010103X _ 2 - 0.25246X _ 3 - 0.75417X _ 4 - 0.013527X _ 5 + 3.83186X _ 6 + 38.61289X _ 7 鹵 133.50 ;



( 3 ) A partial least squares regression model was used to predict the normal reference value of pulmonary activity in adolescents . The model was : ( ? ) = 3024.77 - 0.131640X _ 1 + 0.022388X _ 2 + 2.381548X _ 3 - 1.344117X _ 4 - 0.030850 X _ 5 + 7.881706X _ 6 + 39.820870X _ 7 鹵 557.93 ;



( 4 ) The artificial neural network model was applied to predict the normal reference value of pulmonary activity of adolescent female , and five - layer neural network was constructed , and the training frequency was 3000 times , and the model was optimal ;



( 5 ) A nonlinear regression model is used to predict the normal reference value of pulmonary activity in young men . The model is : ( ? ) = 4890.41 - 0.03057X _ 1 - 0.094425X _ 2 + 27.2634X _ 3 - 1.3680X _ 3 ~ 2 - 12.4397X _ 4 - 0.ANG X _ 5 - 3381.2805 / X _ 6 + 18.1272X _ 7 鹵 255.69 ;



( 6 ) The model is : ( ? ) = 2692.70 - 0.001604X _ 1 + 0.017849X _ 2 - 2.28365X _ 3 - 1.42546X _ 4 - 0.029721X _ 5 + 1.94182X _ 6 + 12.64521X _ 7 鹵 14.90 ;



( 7 ) A nonlinear regression model was used to predict the normal reference value of pulmonary activity in middle - aged men . The model was : ( ? ) = - 1702 . 56 + 0 . 2226X _ 1 + 0.1971X _ 2 - 15.6680X _ 3 + 48.435 1X _ 4 - 0 . 4567X _ 5 + 153.8167X _ 6 - 3.1040X _ 6 ~ 2 + 109.3521X _ 7 鹵 350.03 ;



( 8 ) A multivariate linear regression model was used to predict the normal reference value of pulmonary activity in middle - aged and old women . The model was ( ? ) = 310.831 - 20.085X _ 6 鹵 230.427 ;



9 . A nonlinear regression model was used to predict the normal reference value of pulmonary activity in elderly men . The model was : ( ? ) = 3184 . 086 + 171213 . 7967 / X _ 5 鹵 300 . 33 .



By means of the above model , the corresponding geographical factor indexes of 4383 observation points have been selected , and the normal reference value of pulmonary activity with different ages in these 4383 places can be calculated . By means of the geostatistical analysis module in GIS spatial analysis , the spatial trend distribution map of the normal reference value of pulmonary activity is accurately interpolated by Kriging interpolation method . If the geographical factors of a certain place in China are known , the normal reference value of different ages of different ages in the region can be estimated by this model , and the normal reference value of any place in China can be obtained from the geographical distribution map .

【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】：2009
【分類號】：R188

【引證文獻】

相關(guān)碩士學(xué)位論文 前2條

1 仇宏濤;浙江省20-39歲城鄉(xiāng)居民體質(zhì)比較研究[D];浙江師范大學(xué);2011年

2 李振權(quán);2010年廣西60～69歲老年人體質(zhì)現(xiàn)狀與特征的研究[D];廣西民族大學(xué);2013年

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本文編號：1728068