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研究生:蔡亦恒
研究生(外文):I-HenTsai
論文名稱:基於行動平台之糖尿病遠距照護架構之設計
論文名稱(外文):A Mobile Telehealth Framework for Diabetes Care
指導教授:曾新穆曾新穆引用關係
指導教授(外文):Vincent S. Tseng
學位類別:碩士
校院名稱:國立成功大學
系所名稱:醫學資訊研究所
學門:醫藥衛生學門
學類:醫學技術及檢驗學類
論文種類:學術論文
論文出版年:2012
畢業學年度:100
語文別:英文
論文頁數:50
中文關鍵詞:糖尿病遠距照護智慧型手機應用資料探勘
外文關鍵詞:diabetes mellitustelehealthsmart phone applicationsdata mining
相關次數:
  • 被引用被引用:1
  • 點閱點閱:239
  • 評分評分:
  • 下載下載:14
  • 收藏至我的研究室書目清單書目收藏:2
遠距照護為目前全球各國在醫療及健康照護上之重要發展方向,各種相關之研究及技術開發亦蓬勃發展中。然而目前全球已開發或開發中之遠距照護系統仍有許多不足之處。本研究提出了一套利用行動平台之遠端照護架構並應用於糖尿病照護上。本架構主要功能藉由行動平台的可攜性及無線行動網路,提供糖尿病病患更便利的自我照護機制和無論處於何時何地均可藉由手機檢視自我照護指引之糖尿病照護。
每位糖尿病患一天都需要完成數次血糖測量以及紀錄。然而每日針刺採血的痛苦與紀錄檢測結果的煩瑣,常是影響患者檢測意願的重要原因。在本研究中我們聚焦於自我照護時的血糖紀錄流程進行設計與改良,並處理長期檢測資料之檢視分析與自我照護資訊之回饋。
透過了兩個月的臨床實驗,我們成功的收集到了更詳細的糖尿病自我照護紀錄。從測前與測後的問卷結果,我們發現病患對於這個新型的照護系統有很高的接受度並且對於自己的病情有更加的掌握。對於臨床資料,我們也利用提出的資料探勘機制進行分析,分析結果中成功的找出對應臨床情形的高信賴度的規則。

Telehealth has been an increasing popular research domain recently, with multiple technological developments for many aspects of medicine. However, much remains to be done before telehealth can be deployed at a large scale in a real clinical environment. This research puts forward a framework utilizing mobile platforms to provide diabetes care. This framework uses the portability of mobile platforms and wireless network access, to provide better self-care services for diabetes and to provide ubiquitously accessible self-care advice for diabetics.
As a routine of the self-care process, diabetes patients must make several blood glucose measurements every day. Yet, the pain of blood sampling and monotonous recording taking process is often detrimental to diligent self-care for diabetic patients. We proposed a new automated self-care concept in this research in attempt to boost patients’ initiative in good self-care practice. We focus on designing and provisioning a much more streamlined and simplified self-care process for daily blood glucose records. In addition, we also provide support for the management of long-term records and feedback for daily self-care.
The implemented framework has been deployed in a 2-month clinical trial to test its feasibility. Pre- and post-trial questionnaires completed by participating patients indicate good acceptance of this system and better understanding/control of their own condition. Data mining has been applied to the collected clinical data, and high confidence rules corresponding to possible clinical outcomes has been discovered.

摘要 I
ABSTRACT II
Acknowledgements III
Table of Contents IV
List of Tables VI
List of Figures VII
Abbreviations and Acronyms IX
1. Introduction 1
1.1. Background 1
1.2. Motivation 1
1.3. Problem Statement 3
1.4. Aim 3
1.5. Contributions 3
1.6. Thesis Outline 4
2. Related Work 5
2.1. Diabetes 5
2.1.1. What is Diabetes? 5
2.1.2. History of Diabetes 5
2.1.3. Diabetes Care 6
2.2. Telehealth 6
2.2.1. Defining Telehealth 6
2.2.2. Evolution of Telehealth 7
2.3. Mobile devices 9
2.3.1. Development of Mobile Devices 9
2.3.2. Mobile Devices in Healthcare 10
2.4. Data Mining 12
2.4.1. Association Rules 12
2.4.2. Apriori 12
2.4.3. Data Mining in Healthcare 12
2.5. Overview of Current Literature 13
3. Proposed Method 16
3.1. Framework 16
3.2. Implementation Design 17
3.2.1. Blood Glucose & Blood Pressure Records 18
3.2.2. Data Visualization 23
3.2.3. Settings 24
3.2.4. FAQ 27
3.2.5. Diabetes Knowledge Base 27
3.3. Diabetes Data 29
3.4. Application of Data Mining 30
4. Experiments & Evaluation 33
4.1. Clinical Trial & Real Data Experiments 33
4.1.1. Experiments on Clinical Data 34
4.1.2. Feedback 36
4.2. Simulation Experiments 37
4.2.1. Data Simulator 41
4.2.2. Experiments on Synthetic Data 42
4.2.3. Impact of patient population size on runtime 42
4.2.4. Impact of number of days recorded on runtime 43
4.2.5. Impact of changing minimum support on runtime 45
4.2.6. Impact of changing minimum confidence on runtime 46
5. Conclusions & Future Work 47
5.1. Conclusions 47
5.2. Future Work 47
6. References 49

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