空氣汙染物與疾病關聯性之研究與利用深度學習預測疾病

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姓名

陳俞毓(Yu-Yu Chen) 查詢紙本館藏

畢業系所

資訊工程學系

論文名稱

空氣汙染物與疾病關聯性之研究與利用深度學習預測疾病
(A Study of Correlation between Air Pollutants and Diseases and Diseases Prediction by Deep Learning)

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摘要(中)

近年來，環境因素對人類的影響不斷增加，這現象儼然成為一個棘手的問題。在此
情形下，很多研究者投入此方向並表明了許多不同種類的疾病與環境因素之間的聯繫，
而在這些環境因素中空氣污染和水質之討論尤其眾多。與此同時，環境因素對個體的影
響也不盡相同，在這種情形下個體所產生的疾病也不盡相同。因此，在本研究中，我們
建立一個自動化分析系統來分析任何疾病與環境因素之間的關係，並構建一個基於深度
學習併考量空氣狀態或水質狀態的疾病預測模型。因為在水質部分並無即時值可供我們
建構平台，所以平台主要關注在空氣汙染物的部分，而結果表明，儘管我們的疾病與空
氣汙染物關聯之自動化系統的分析結果與以往的研究結果有一定的差異，但它們之間的
相似的部分仍然佔了大多數。在疾病預測方面，我們在總體的疾病預測上有較好的表
現。

摘要(英)

In recent year, the influence on human beings of environmental factors increasing has
been a hot potato and there was a lot of research has shown the association between different
kinds of diseases and environmental factors, especially air pollutants and water quality.
Meanwhile, influence on individuals by environmental factors are not all the same, and the
diseases they get are different. Therefore, in this study, we want to implement an automatic
system to analyze the relationship between any disease on Longitudinal Health Insurance
Database (LHID) and environmental factors and construct deep learning-based models for
diseases prediction incorporating air status or water quality status. However, there is no
instantaneous value of water quality, so we focus on air pollutants on automatic analysis
system. The results show that even though there are some differences between the analytical
results from our system and the previous research, the similarities between them are in
majority. In diseases prediction, we show high performance on the overall forecast. Our
models considered medical information from LHID, incorporating air pollutants, location
information, and water quality. The accuracy among these four features is 89.49%, 89.59%,
89.59%, and 89.56% separately. In short, incorporating these environmental factors can
improve the accuracy of deep learning-based diseases prediction actually.

關鍵字(中)

★ 健保資料庫
★ 空氣汙染
★ 分析系統
★ 疾病預測

關鍵字(英)

★ NHIRD
★ Air pollution
★ analysis system
★ disease prediction

論文目次

摘要 .......................................................................................................................................................... i Abstract ................................................................................................................................................... ii Table of Contents ................................................................................................................................... iv List of Figures ......................................................................................................................................... v List of Tables ......................................................................................................................................... vii Chapter 1 Introduction ....................................................................................................................... 1 1.1 Background ............................................................................................................. 1 1.2 Motivation .............................................................................................................. 4 1.3 Research Goal ......................................................................................................... 5 Chapter 2 Related Works .................................................................................................................... 7 Chapter 3 Materials and Methods ...................................................................................................... 9 3.1 Disease Correlations ............................................................................................... 9 3.1.1 Data Sources ....................................................................................................... 9 3.1.2 Data Preprocessing ........................................................................................... 10 3.1.3 Analysis Framework ......................................................................................... 11 3.1.4 Design of Platform and Website ....................................................................... 14 3.1.5 Data Converter and Result Converter ............................................................... 16 3.2 Disease Prediction ................................................................................................ 18 3.2.1 Data Sources ..................................................................................................... 18 3.2.2 Data Preprocessing ........................................................................................... 19 3.2.3 Deep Learning-Based Disease Prediction ........................................................ 23 3.2.4 Feedforward Neural Network ........................................................................... 26 3.2.5 Bidirectional Long Short-Term Memory .......................................................... 27 3.2.6 Evaluation Methods .......................................................................................... 31 Chapter 4 Results ............................................................................................................................. 37 4.1 Demonstration of Web-based User Interface ........................................................ 37 4.2 Comparison between Automatic Analysis System and Previous Results ............ 44 4.2.1 Parkinson’s Disease .......................................................................................... 44 4.2.2 Chronic Obstructive Pulmonary Disease .......................................................... 48 4.2.3 Chronic Kidney Disease ................................................................................... 50 4.3 Results of Disease Prediction ............................................................................... 52 Chapter 5 Discussions and Conclusions .......................................................................................... 58 5.1 Discussions ........................................................................................................... 58 5.2 Conclusions .......................................................................................................... 62 Chapter 6 Future Works ................................................................................................................... 63 Reference ............................................................................................................................................... 64

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指導教授

洪炯宗吳立青(Jorng-Tzong Horng Li-Ching Wu)

審核日期

2018-7-23

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