系統識別號 | U0002-0508201417065500 |
---|---|
DOI | 10.6846/TKU.2014.00161 |
論文名稱(中文) | 規則引擎專家系統 – 以糖尿病為例 |
論文名稱(英文) | Rule Base Expert System – A Case Study On Diabetes Mellitus |
第三語言論文名稱 | |
校院名稱 | 淡江大學 |
系所名稱(中文) | 資訊工程學系碩士在職專班 |
系所名稱(英文) | Department of Computer Science and Information Engineering |
外國學位學校名稱 | |
外國學位學院名稱 | |
外國學位研究所名稱 | |
學年度 | 102 |
學期 | 2 |
出版年 | 103 |
研究生(中文) | 林心薇 |
研究生(英文) | Hsin-Wei Lin |
學號 | 700410177 |
學位類別 | 碩士 |
語言別 | 繁體中文 |
第二語言別 | 英文 |
口試日期 | 2014-06-19 |
論文頁數 | 64頁 |
口試委員 |
指導教授
-
蔣璿東
委員 - 王鄭慈 委員 - 葛煥昭 委員 - 蔣璿東 |
關鍵字(中) |
糖尿病 異常偵測 規則引擎 |
關鍵字(英) |
diabetes abnormally detection rules engine |
第三語言關鍵字 | |
學科別分類 | |
中文摘要 |
多年來,糖尿病已經成為在台灣的十大死因排行榜中死亡率攀升最快的死因,由於糖尿病患者在初期的時候,常常會因為症狀不容易察覺而錯失病情控制與治療的最佳時機,所以一旦罹患了糖尿病就必須進行長期的治療與控制,對政府的醫療成本也造成了龐大的負擔,若患者於日常生活中就可以進行自我的監測,對日常的血糖值進行控管,可以有助於降低糖尿病的併發症發生。因為現今市售的血糖機大多數僅只有單向血糖檢測功能,沒有血糖值的異常偵測以及與患者提供互動的功能,本論文希望透過醫學資料與相關文獻的收集,以糖尿病為例,將所蒐集到的資料進行結構化並藉由整理出的判斷規則及流程,建立基於規則引擎之專家系統,使血糖機與血糖自我管理系統可使用規則引擎進行血糖異常偵測的判斷,期望能對未來血糖機的功能提升能有幫助,甚至可以發展一套糖尿病自我檢測的系統來達到早期控制的目標,將有助於降低患者的人數以及降低醫療的成本。 |
英文摘要 |
Over the years, diabetes has become the cause with the fastest rise in mortality rates among the ten leading causes of death in Taiwan. In the early onset, diabetic patients often miss the best time for disease control and treatment as symptoms are not easily detected. Therefore, once a person contracts diabetes, the person has to undergo long-term treatment and control, thus the resulting in high medical costs that burden the government. If patients can self-monitor their blood sugar in daily life, they will be able to reduce complications of diabetes. Since most blood glucose meters available in the market only feature one-way blood sugar testing, without abnormal blood sugar value detection and patient interaction functions, this paper is intended to structuralize data collected through medical data and related literatures and using diabetes as an example. Through determination rules and processes compiled, a rules engine experiment system was setup for blood glucose meters and glucose self-management system to determine abnormal glucose detected through the rules engine. It is expected to contribute to the enhancement of future blood glucose meter functions as well as the development of a diabetes self-test system that helps achieve the goal of early control, thereby decreasing diabetic patients and medical costs. |
第三語言摘要 | |
論文目次 |
目錄 第1章 緒論 1 1.1 研究動機 1 1.2 研究目的 3 第2章 相關文獻 6 2.1 規則引擎專家系統 6 2.2 糖尿病 8 2.3 糖尿病診斷與照護 12 2.4 糖尿病的併發症 13 第3章 研究方法 17 3.1 問題陳述 17 3.2 研究流程 21 3.3 血糖異常彙整結果 23 第4章 規則引擎 27 4.1 異常偵測判斷規則 27 4.2 異常偵測規則結構化 39 4.3 實作畫面 43 第5章 結論 47 REFERENCE 49 附錄-英文論文 53 圖目錄 圖 1 糖尿病階段示意圖 13 圖 2 Family Caregivers are Wired for Health 20 圖 3 研究流程圖 21 圖 4 飯前血糖判斷規則流程圖 27 圖 5 飯前血糖案例分析 29 圖 6 飯前血糖輕度異常 30 圖 7 飯前血糖嚴重異常 32 圖 8 飯前血糖危險異常 33 圖 9 飯後血糖判斷規則流程圖 34 圖 10 飯後血糖案例分析 35 圖 11 飯後血糖輕度異常 36 圖 12 飯後血糖嚴重異常 37 圖 13 飯後血糖危險異常 38 圖 14 血糖機示意圖—正常血糖 43 圖 15 血糖機示意圖—血糖輕度異常 44 圖 16 血糖機示意圖—血糖嚴重異常 45 圖 17 血糖機示意圖—血糖危險異常 46 表目錄 表 1 民國101年全國主要死亡原因與死亡率 2 表 2 我國99-101年十大死因統計 2 表 3 血糖值標準 13 表 4 基本資訊彙整 24 表 5 一般血糖異常彙整表 24 表 6 糖尿病急性併發症 25 表 7 血糖值系統判定區間 26 表 8 病患情形及危急程度 28 表 9 症狀列表 40 表 10 飯前血糖嚴重程度表 40 表 11 飯後血糖嚴重程度表 41 表 12 意見列表 42 表 13 問題列表 42 |
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