臺灣博碩士論文加值系統

隨著醫療科技的進步，人們的壽命逐漸延長。人們嘗試保持良好的健康，而健康的飲食變得越來越重要。然而，飲食的缺乏、過量或不均衡狀態等，都會對健康產生負面的影響，進而導致疾病。大部份的症狀和疾病可以透過飲食控制得到預防和減緩。
營養師是透過訓練提供飲食安全的健康專業人員並給予飲食建議，例如，每日攝取的卡路里、醣類和脂肪，或是避免某些類型的食物等。大部份有健康意識的人們在不確定的情況下，不了解在日常生活中該避免什麼樣的食物。
本論文中，將建立一個以Health Level Seven (HL7) 為基礎，由本體論技術建構智慧型個人飲食計畫之網路服務-Diet-Aid；根據本體論之推論特性以及使用者個人資料，建構一個飲食建議系統，以提供個人化服務，藉由任何有網路設備的裝置，透過Representational State Transfer (REST) web service技術，使用者可以取得此服務。Diet-Aid協助正在選擇飲食的使用者，根據使用者的身體健康狀況，給予適當的飲食建議，進而讓健康檢查中心和食物供應商以達到雙贏。

The advancement of medical technology greatly extends people’s lifespan. Therefore, as many people try to keep well and fit, healthy diet is becoming more and more important today. However, deficiencies, excesses and imbalances in a diet can produce negative impacts on health, which may lead to diseases. The most all-too-common diseases and symptoms can often be prevented or alleviated by better diet active living.
Moreover, the majority of dietitians are health professionals and are trained to provide safe, evidence-based dietary advice and interventions such as limiting maximum calorie intake daily, avoiding certain types of food, etc. However, most of people who desire health conscious diet are still in uncertain situations regarding which ingredients or food should be avoided in the context of daily life.
In this research, we developed an ontological, RESTful Diet-Aid web service based on health screening data of Health Level Seven International (HL7) to provide an intelligent, personalized Diet-Aid service, which can be accessed by using any Internet-enabled device. The Diet-Aid can generate a dietetic meal or filter out unsuitable food on site according to user’s health conditions assuming that the recipe information of food is accessible. The development of such a Diet-Aid is expected to benefit both institutions of health screening and food suppliers.

摘 要 iii
Abstract iv
Acknowledgements vi
Contents vii
List of Figures ix
List of Tables x
Abbreviations xii
Chapter 1 Introduction 1
1.1. Background and Motivation 1
1.2. Research Objective 7
1.3. Research Overview 8
Chapter2 Literature Review 9
2.1 Health Management System 9
2.1.1 Mobile u-health system 9
2.2 Health Screening and Diet Recommendation 11
2.3 Health Level Seven (HL7) and Health Level Seven Version 3.0 Reference Information Model (HL7 V3 RIM) 14
2.4 Ontology-based Knowledge Representation and Extraction 18
2.4.1 Traditional Database Approach to Medical Knowledge Base System (KBS) 18
2.4.2 The Concept and Definition of Ontology 20
2.4.3 Ontology Tools 21
2.4.4 Building Domain Ontology 23
2.5 Ontology-based Applications 24
2.5.1 Ontology-based Medical Knowledge Base System (KBS) 24
2.5.2 Ontology-based Health Care Personalized System 25
2.6 RESTful Web Service 27
2.7 Summary 29
Chapter 3 Research Methodology 30
3.1. Diet-Aid Architectures 30
3.1.1. Logical Architecture 30
3.1.2. Physical Architecture 32
3.2. Ontology-based Knowledge Engine 33
3.2.1. Diet-Aid Ontological Knowledge Engine (DOKE) 34
3.2.2. Inference Module 37
3.2.3. Data Repository in Diet-Aid 38
3.2.4. RESTful Web Service 39
3.3. User Interface 39
Chapter 4 Implementation 41
4.1. Hardware and software configuration 41
4.2. Initiating the Diet-Aid Service 42
4.2.1. Design of Diet-Aid Knowledge Base 42
4.2.2. Design of Inference Module 48
4.2.3. Design of RESTful Services 52
4.2.4. Design of Database 53
4.3. Demonstrate of implementation scenarios 54
4.3.1. Scenario 1: Suppliers’ Perspective 55
4.3.2. Scenario 2: Customers’ Perspective 56
4.4. Evaluation 61
Chapter 5 Conclusion Remarks and Future Works 64
5.1 Conclusions 64
5.2 Limitations 64
5.3 Future works 65
References 67

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