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  1. NTU Theses and Dissertations Repository
  2. 工學院
  3. 醫學工程學研究所
請用此 Handle URI 來引用此文件: http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/44756
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dc.contributor.advisor林啟萬(Chii-Wann Lin)
dc.contributor.authorJu-Chen Chenen
dc.contributor.author陳儒誠zh_TW
dc.date.accessioned2021-06-15T03:54:15Z-
dc.date.available2010-07-12
dc.date.copyright2010-07-12
dc.date.issued2010
dc.date.submitted2010-06-29
dc.identifier.citation參考文獻
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[8] 沈軫翔, '心血管疾病生化、生理指標及生活型態之研究,' 碩士, 生物學系, 國立成功大學, 台南, 1999.
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[12] C. C. F. H. Center. (2005. Available: http://www.clevelandclinic.org/heartcenter/pub/guide/disease/cad/
[13] A. B. Keys, Seven countries a multivariate analysis of death and coronary heart disease. Cambridge, Mass. :: Harvard University Press, 1980.
[14] Y.-T. Lee, et al., 'Chin-Shan Community Cardiovascular Cohort in Taiwan-baseline data and five-year follow-up morbidity and mortality,' Journal of Clinical Epidemiology, vol. 53, pp. 838-846, 2000.
[15] 王宗道, '血脂肪異常和冠狀動脈心臟病的分子生物學臨床醫學及流行病學研究,' 博士, 臨床醫學研究所, 國立台灣大學, 台北, 2002.
[16] R. B. D'Agostino, et al., 'Primary and subsequent coronary risk appraisal: New results from the Framingham study,' American Heart Journal, vol. 139, pp. 272-281, 2000.
[17] 行政院衛生署國民健康局, '高血脂防治手冊 - 國人血脂異常診療及預防指引,' 2003.
[18] R. B. Schnabel, et al., 'Development of a risk score for atrial fibrillation (Framingham Heart Study): a community-based cohort study,' Lancet, vol. 373, pp. 739-745, Feb-Mar 2009.
[19] J.-W. Lin, et al., 'Cross-Sectional Validation of Diabetes Risk Scores for Predicting Diabetes, Metabolic Syndrome, and Chronic Kidney Disease in Taiwanese,' Diabetes Care, vol. 32, pp. 2294-2296, December 2009 2009.
[20] M. I. Schmidt, et al., 'Identifying Individuals at High Risk for Diabetes,' Diabetes Care, vol. 28, pp. 2013-2018, August 2005 2005.
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[25] C. Glumer, et al., 'A Danish Diabetes Risk Score for Targeted Screening,' Diabetes Care, vol. 27, pp. 727-733, March 2004 2004.
[26] W. Aekplakorn, et al., 'A Risk Score for Predicting Incident Diabetes in the Thai Population,' Diabetes Care, vol. 29, pp. 1872-1877, August 2006 2006.
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[29] B. Balkau, et al., 'Predicting Diabetes: Clinical, Biological, and Genetic Approaches,' Diabetes Care, vol. 31, pp. 2056-2061, October 2008 2008.
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[31] R. D'Agostino, et al., 'Stroke risk profile: adjustment for antihypertensive medication. The Framingham Study,' Stroke, vol. 25, pp. 40-43, January 1, 1994 1994.
[32] J. Kai 'Oswald' Seidler (2009, apache friends - xampp. Available: http://www.apachefriends.org/zh_tw/xampp.html
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dc.identifier.urihttp://tdr.lib.ntu.edu.tw/jspui/handle/123456789/44756-
dc.description.abstract隨著醫療水平以及科技的發達,一些由環境或衛生不佳的疾病造成的死亡日益減少,平均壽命增長,全球人口進入老年化階段,漸漸普遍形成高齡化社會。隨著高齡化的社會和生活水準的提升,文明病日漸愈增,以心血管疾病最為普遍及危險。
為了提升自主健康管理以及風險分析預防的觀念。本研究以心血管疾病的文獻探討為出發,分析各種心血管疾病相關風險因子,收集多種心血管疾病相關的風險評估演算法進行整合,並且實作出一心血管風險分析系統,此系統包含網頁版以及PDA版。結合後端資料庫的建立,可讓使用者在風險分析之餘,亦可紀錄自我的歷史健康資訊,長時間監控自我的健康狀況,建立遠距醫療、健康管理的觀念與習慣。
未來可以提升風險分析系統的準確率為目標,進行系統驗證評估,並且結合染色體基因學以及蛋白質結構分析,建立多指標的心血管風險分析系統。
zh_TW
dc.description.abstractWith promotion of medicine and technology, some death from disease caused by environment is decreasing year by year. Average life is getting longer and the whole world population is getting older, so that aging society forms rapidly. With coming aging society and promotion of living standard, diseases of civilization are becoming popular day by day. Cardiovascular diseases(CVDs) are the major and the most vital.
To promote the concept of self health management and risk analysis prevention, this research starts from literature review, then analysis variety of CVD related risk factors and collect multi-CVD related analysis evaluation algorithms to integrate. Finally, it implements a CVD risk analysis systems, including webpage version and PDA version. Combined with database, it also can provide users record historical health information to monitor long-term health status and build habit of health management with the concept of telemedicine.
In the future, we can evaluate the CVD risk analysis system for raising the accuracy and combine genomics and proteomics to build the multi-index CVD risk analysis system.
en
dc.description.provenanceMade available in DSpace on 2021-06-15T03:54:15Z (GMT). No. of bitstreams: 1
ntu-99-R97548054-1.pdf: 7997858 bytes, checksum: 7fa98121d7a89d5ee645596245de4413 (MD5)
Previous issue date: 2010
en
dc.description.tableofcontents致謝 I
摘要 II
Abstract III
目錄 IV
圖目錄 VI
表目錄 VIII
第一章、 前言 1
1.1 研究背景與動機 1
1.2 研究目的 1
第二章、 文獻探討 3
2.1 心房震顫 3
2.2 糖尿病 3
2.3 心血管疾病 4
2.3.1 高血壓 4
2.3.2 中風 5
2.3.3 冠狀動脈心臟病 6
2.4 危險因子探討 7
2.5 風險分析模型 9
第三章、 研究方法 11
3.1 系統架構 11
3.2 演算法探討與合併開發 12
3.2.1 心房震顫評估演算法探討 12
3.2.2 糖尿病評估演算法探討 14
3.2.3 心血管疾病評估演算法探討 16
3.2.4 中風評估演算法探討 19
3.2.5 評估演算法合併 21
3.3 開發工具 22
3.3.1 PHP + HTML 23
3.3.2 MySQL 23
3.3.3 C# 24
第四章、 整合應用系統之建立 25
4.1. 系統雛形開發 25
4.1.1 網頁版 25
4.1.1.1 輸入介面 25
4.1.1.2 評估結果介面 27
4.1.2 PDA版 31
4.1.2.1 基本生理資訊 31
4.1.2.2 進階病史 32
4.1.2.3 分析結果 33
4.1.3 後端資料庫 35
4.1.3.1 心房震顫表格 35
4.1.3.2 糖尿病表格 35
4.1.3.3 心血管疾病表格 36
4.1.3.4 中風表格 37
4.2. 計畫整合 39
4.2.1 台北市民健康生活照護服務計畫 39
4.2.2 永續智慧人本住家研究計畫(NSC95-2627-E-002-002-) 45
第五章、 結論與討論 51
參考文獻 52
dc.language.isozh-TW
dc.subject遠距醫療zh_TW
dc.subject心血管疾病zh_TW
dc.subject風險因子zh_TW
dc.subject風險分析zh_TW
dc.subject心血管風險評估系統zh_TW
dc.subjectCVD risk analysis systemen
dc.subjectrisk factoren
dc.subjectcardiovascular diseaseen
dc.subjecttelemedicineen
dc.subjectrisk analysisen
dc.title整合性心血管疾病風險分析演算法於遠距醫療之應用zh_TW
dc.titleThe Development an Integrated CVD Risk Analysis Algorithm for Telemedicineen
dc.typeThesis
dc.date.schoolyear98-2
dc.description.degree碩士
dc.contributor.oralexamcommittee劉佩玲(Pei-Ling Liu),蕭子建(Tzu-Chien Hsiao),簡國龍(Kuo-Liong Chien),劉言彬(Yen-Bin Liu)
dc.subject.keyword心血管疾病,風險因子,風險分析,心血管風險評估系統,遠距醫療,zh_TW
dc.subject.keywordcardiovascular disease,risk factor,risk analysis,CVD risk analysis system,telemedicine,en
dc.relation.page54
dc.rights.note有償授權
dc.date.accepted2010-06-29
dc.contributor.author-college工學院zh_TW
dc.contributor.author-dept醫學工程學研究所zh_TW
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