臺灣博碩士論文加值系統

臨床上已證實同半胱胺酸為影響心臟疾病的重要危險因子。藉由同半胱氨酸的監測可有效管理心臟疾病的病情。真實案例中，若檢測值在特定值以下為正常情況，而在超過特定值時則為異常，此特定值稱為閾值。本研究透過Fong et al. (2017)提出的四種閾值迴歸模式來解釋同半胱胺酸在閾值前後模式的變化情形，故考慮同半胱胺酸為閾值變數並引入其相關解釋變數建構閾值迴歸模式。最後可將四種閾值迴歸模式區分成「急性疾病」與「慢性疾病」兩種模式，藉由閾值迴歸模式找出已患有心臟疾病之病患的同半胱胺酸數值在16 μmol/L時具有不同模式，進而探討若將同半胱胺酸數值以閾值為界，其病患具有哪些分類特徵。最後，本研究利用實例來評估閾值迴歸模式之效果，進而驗證本研究假設急性與慢性的閾值迴歸模式在實際案例中是可行的。

Clinically, homocysteine has been shown to be an important risk factor for heart disease and can be effectively managed by monitoring. In real case, if the detected value is normal below a certain value and is abnormal after exceeding a certain value, this specific value is called “threshold”. In this study, four threshold regression models proposed by Fong et al. (2017) are used to explain the change of homocysteine before or after the threshold. Therefore, consider the homocysteine as a threshold variable and introduce its associated explanatory variable construction threshold regression model. Finally, the four threshold regression models can be divided into two modes: "acute" and "chronic". The threshold regression model can be used to find out that the homocysteine value of patients with different patterns at 16 μmol/L.

目錄
摘 要 i
Abstract ii
致謝辭 iii
目錄 v
表目錄 vii
圖目錄 x
第一章 緒論 1
第二章 文獻回顧 3
2.1心臟血管疾病相關研究 3
2.2 閾值迴歸模式 5
2.3分類與迴歸樹(Classification and regression trees, CART) 9
第三章 研究方法 12
3.1閾值迴歸模式(Threshold Regression Model) 12
3.1.1 急性疾病的閾值迴歸模式(Threshold Regression Model of Acute Disease) 14
3.1.2 慢性疾病的閾值迴歸模式(Chronic Threshold Regression Model of Chronic Disease) 15
3.2迴歸樹(Regression tree) 17
第四章 實例分析 19
4.1 慢性心臟疾病的危險因子研究 19
4.1.1閾值迴歸模式 24
4.1.2 迴歸樹模式 33
4.2多保他命在急性心臟疾病的分析與應用 45
4.2.1閾值迴歸模式 46
4.3 實例分析結論 53
第五章 結論與建議 55
參考文獻 58
附錄（一） 61
附錄（二） 64

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