水源監測資料庫與健保資料庫之整合巨量數據分析

環境中各種因子，都有可能影響某個疾病的發生率，因此本研究整合不同的資料庫並做數據分析，來討論某些因子是否與某些疾病有關連性。本研究採用國家衛生研究院的全民健康保險研究資料庫(NHIRD)與行政院環保署的水質監測資料庫做整合，疾病因子取大腸直腸癌、水質資料取河川汙染程度指標(RPI)來做對數線性模型的回歸分析，藉由回歸式的擬合來探討大腸直腸癌發生率在各年齡層、各年份與水質好壞的關連性，最後再將自來水中硝酸鹽氮與亞硝酸鹽氮的監測值放入回歸式探討其關連性，並與現有文獻做比較。其中可以看出水質好壞與大腸直腸癌發生率成低度正相關，另外分別對地區與水質、年齡層、年份做分析，探討哪些缺點影響擬合程度，並提出可行的解決方案供未來在此方面繼續研究之研究者一個修正方向。最後分析出來的數據結果，可供其他領域做更進階的研究，以大數據的趨勢來供研究者提出假說的方向，以減少實驗重複驗證的時間。

關鍵字

健保資料庫；水質監測資料庫；大腸直腸癌；河川汙染程度指標；對數線性模型

並列摘要

Environmental factors may influence the incidence of certain diseases. This research integrates different databases to analyze the notation of these factors with diseases. To integrate National Health Insurance Research Database(NHIRD) and Water Quality Database of Taiwan. We use Poisson loglinear regression model try to analyze the connection between incidence of colorectal cancer and River Pollution Index(RPI) in the aspects of different geographic area, age group and year influence. Besides, we also use pipe water concentration data of nitrate and nitrite nitrogen in the regression model to confirm if these factor has positive correlation with the incidence of colorectal cancer. By this way, we can find those modestly correlated attributes between incidence of colorectal cancer and River Pollution Index(RPI). Also, we can analyze them in the aspects of water quality, different area variable, age group, and time trend in year to discuss what reasons are related to the goodness of fit. At least, these results may provide future researchers in related fields with some useful information. Researchers can also use the concept of big data analysis to propose a new project in their proposal.

並列關鍵字

NHIRD ； Water Quality Database ； Colorectal Cancer ； RPI ； Loglinear Model

參考文獻

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水源監測資料庫與健保資料庫之整合巨量數據分析

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