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[慶賀]恭喜亞大獲《泰晤士報》亞洲最佳大學排名第83名,國內排名第十名-20170201

作者 主題: 亞洲大學/生物資訊/94/碩士-黃麒昌-氣喘預警行動服務系統  (閱讀 10362 次)

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出版年: 94 
研究生: 黃麒昌 
研究生(英文姓名): Chir-Chang Huang 
論文名稱:  氣喘預警行動服務系統
 
英文論文名稱: An asthma warning ubiquitous service
 
指導教授: 朱學亭 ; 蔡進發 
指導教授(英文姓名):  Hsueh-Ting Chu ; Jeffrey J.P. Tsai 
學位類別:  碩士
校院名稱:  亞洲大學 
系所名稱:  生物資訊研究所
學號:  93342006 
學年度:  94 
語文別:  中文 
論文頁數:  33 
關鍵詞:  氣喘病,空氣污染,氣象,全球定位系統(GPS),地理資訊系統(GIS),決策支援系統(DSS),智慧型手機,環境健康,類神經網路,多層次感知機,倒傳遞演算法 
英文關鍵詞:  Asthma, Air pollution, Weather, Global Positioning System (GPS), Geographic Information Systems (GIS), Decision Support System (DSS), Smartphone, Environmental health, Neural network, Multilayer perceptron, Back propagation algorithm
 
[ 摘要 ] 
本研究是以多層感知機類神經網路為基礎,以發展出一套氣喘發病之決策系統。 利用氣象及空氣環境因子及氣喘就醫資料,輸入層包括氣象及空氣因子,輸出層則為氣喘就醫人次,並以前饋倒傳遞演算法訓練,以交差驗證評估法來衡量。其結果顯示,特別的是以一週平均值來進行處理時,預測的準確率高達96%以上。
經由本研究,未來可以建置一氣喘發病預警網路服務,氣喘病患透過GPS裝置連接,服務中心伺服器可偵測病患所在位置,並即時取得該地監測站環境資料,經系統決策判斷,回傳給病患發病之危險警示,以期達到降低發病之可能。 
[ 英文摘要 ] 
A decision support system based on multiplayer perceptron was developed to indicate the possible morbidity of asthma diseases. The inputs of the system included indices of weather and air pollution. The outputs were levels of asthma outpatients. The cross validation assessment method was applied to assess the generalization of the system. In particular, we investigated the accuracy of the result, when medical records were handled using one week mean data. The results showed that the proposed MLP-based decision support system could achieve very high prediction accuracy (>96%). It is promising on indication of ambient air pollutants and weather for asthma patients.
Furthermore, we builded a medical web service in this thesis as an application of the Global Positioning System (GPS). For an asthmatic patient, he or she can carry a portable GPS device to prevent possible morbidity of asthma during his or her outdoor activities of daily livings. To reduce possible allergy asthma, the GPS-enable device which sending user’s position continuously consults a remote server to decide whether current ambient air quality will threaten user’s health or not. The server of the detecting system collects real-time data from the network of national air quality monitoring stations. For the response to a remote query, the server makes decision of warning messages according to a proposed asthma neural network model. The proposed system is hopeful for asthmatic patients.
 
[ 論文目次 ] 
第1章 緒論..............................................1
1.1 研究背景.........................................1
1.2 研究動機與目的...................................1
1.3 文獻及相關研究...................................2
1.4 論文架構.........................................3
第2章 材料與方法........................................5
2.1 研究方法.........................................5
2.2 系統架構.........................................6
2.3 類神經網路訓練...................................7
2.3.1 訓練資料整理................................8
2.3.2 驗證模型...................................13
2.4 XML WEB Service建置.............................14
2.4.1 動態擷取氣象/空氣資料......................15
2.4.1.1 氣象資料擷取程式......................16
2.4.1.2 空氣資料擷取程式......................18
2.4.2 使用者呼叫流程.............................19
2.4.2.1 類神經預測程式.......................20
2.4.2.2 經緯度偵測地區代碼轉換程式............21
2.4.2.3 XML WEB Services主程式................24
第3章 研究結果.........................................25
第4章 結論與建議.......................................27
參考文獻................................................29
商標聲明................................................32
誌謝....................................................33 

[ 參考文獻] 
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