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| DC 欄位 | 值 | 語言 |
|---|---|---|
| dc.contributor.advisor | 賴飛羆(Fei-pei Lai) | |
| dc.contributor.author | Han-Ping Chen | en |
| dc.contributor.author | 陳翰平 | zh_TW |
| dc.date.accessioned | 2021-06-08T00:01:35Z | - |
| dc.date.copyright | 2013-08-26 | |
| dc.date.issued | 2013 | |
| dc.date.submitted | 2013-08-15 | |
| dc.identifier.citation | [1] World Health Organization (WHO) Available : http://www.who.int/en/
[2] Department of Health, Taiwan. Available : http://www.doh.gov.tw/cht2006/index_populace.aspx [3] Wikipedia. Telecare. ; Available : http://en.wikipedia.org/wiki/Telecare [4] 行政院衛生署. 遠距健康照護服務發展計畫. Available : http://doh.telecare.com.tw/takecareservice.aspx [5] M.-J. Su, H.-W. Zhang, Y.-J. Lin, Y.-H. Su, S.-J. Chen, and H.-S. Chen, “Pilot study on a community-based ubiquitous healthcare system for current and retired university employees,” in Proc. IEEE ICC workshop, Dresden, 2009, pp. 1-5. [6] J. S. Dhillon, C. Ramos, B. C. Wunsche, and C. Lutteroth, “Designing a web-based telehealth system for elderly people: an interview study in New Zealand,” in Proc. 24th CBMS, Bristol, 2011, pp. 1-6. [7] K. Fujimura, M. Shiraichi, Y. Maeda, M. Itoh, “Effect of web-based healthcare system on behavior modification,” in Proc. 8th APSITT, Kuching, 2010, pp. 1-6. [8] M. C. Carter, V. J. Burley, C. Nykjaer, and J. E. Cade, “’My Meal Mate’ (MMM): validation of the diet measures captured on a smartphone application to facilitate weight loss,” British Journal of Nutrition, pp. 1-9, May, 2012. Available: http://dx.doi.org/10.1017/S0007114512001353. [9] I. M. Lopes, B. M. Silva, J. J.P.C. Rodrigues, J. Lloret, and M. L. Proenca Jr., “A mobile health monitoring solution for weight control,” in Proc. WCSP, Nanjing, 2011, pp. 1-5. [10] J. Shang, K. Sundara-Rajan, L. Lindsey, A. Mamishev, E. Johnson, A. Teredesai, and A. Kristal, “A Pervasive Dietary Data Recording System”, in Proc. PERCOM workshops, Seattle, 2011, pp. 307-309. [11] F. Zhu, M. Bosch, I. Woo, S Kim, C. J. Boushey, D. S. Ebert, and E. J. Delp, “The use of mobile devices in aiding dietary assessment and evaluation,” IEEE Trans. of Selected Topics in Signal Processing, vol. 10, no. 4, pp. 756-766, Aug., 2010. [12] Gu, Quanquan, Zhenhui Li, and Jiawei Han. 'Generalized fisher score for feature selection.' arXiv preprint arXiv:1202.3725 (2012). [13] Chen Y-W, Lin C-J. Combining SVMs with Various Feature Selection Strategies. In: Guyon I, Nikravesh M, Gunn S, Zadeh L, editors. Feature Extraction: Springer Berlin Heidelberg; 2006. p. 315-24. [14] Akay MF. Support vector machines combined with feature selection for breast cancer diagnosis. Expert Systems with Applications. 2009;36(2, Part 2):3240-7. [15] Chen W-H, Chen H-P, Tseng Y-J, Hsu K-P, Hsieh S-L, Chien Y-H, Hwu W-L, Lai F, editors. Newborn Screening for Phenylketonuria: Machine Learning vs Clinicians. The 2012 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining; 2012 Aug 2012; Istanbul, Turkey. [16] Engeli, Stefan, et al. 'Weight loss and the renin-angiotensin-aldosterone system.' Hypertension 45.3 (2005): 356-362. [17] Johnston, Carol S., Sherrie L. Tjonn, and Pamela D. Swan. 'High-protein, low-fat diets are effective for weight loss and favorably alter biomarkers in healthy adults.' The Journal of nutrition 134.3 (2004): 586-591. [18] Clifton, Peter M., Jennifer B. Keogh, and Manny Noakes. 'Long-term effects of a high-protein weight-loss diet.' The American journal of clinical nutrition 87.1 (2008): 23-29. [19] Westerterp-Plantenga, M. S., et al. 'High protein intake sustains weight maintenance after body weight loss in humans.' International journal of obesity 28.1 (2004): 57-64. | |
| dc.identifier.uri | http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/17219 | - |
| dc.description.abstract | 近年來，台灣地區肥胖人口的數量日漸增加，年齡層也日漸下降，為了幫助這些肥胖的國人，我們設計了一個以減重為目標的遠距照護系統，在日常紀錄方面，以體重、飲食、運動還有睡眠四個方面為主軸搭配線上課程以及減重相關須知來提供全面性的照護。在個案管理師方面，也加入了患者的電子病歷紀錄來幫助個案管理師及醫師們可以更精準的評估病人的生理狀況來制定更有效率及健康的減重計畫。另一方面，此系統亦可以在判斷異常病患上幫助營養師們節省照顧病患的時間。除此之外，我們也希望可以找出個別患者在減重時，影響他們減重效果的原因，因此，我們利用皮爾森相關係數 (Pearson Correlation Coefficient) 來對患者上傳的資料做相關性的分析，希望藉此來為每個患者量身打造各自的減重計畫，讓患者了解，在自己減重的過程中，各個面向所佔的權重各是多少。以利日後推廣減重照護或是遠距照護系統時，作為分析方法及臨床決策之用。 | zh_TW |
| dc.description.abstract | In the study, web-based telehealthcare system was integrated with a mobile application for diet people. In order to comprehensively deal with the overweight problem, the user interface with four important aspects on weight, diet, exercise and sleep records is implemented. In addition, online courses and knowledge of diet are provided in the system. The electronic medical record of National Taiwan University Hospital is also embedded in the system for the case managers and doctors to evaluate the status of the obese and overweight patients. In the other hand, the system also can save case managers a lot of time to take care of patients by collecting abnormal patients automatically. Moreover, the target of the system is to help patients for reducing body weight and improving their health, so that discovering reasons that influences the effect of weight-loss is also essential for patients. We utilize Pearson’s Correlation Coefficient which represents the correlative degree of two variables to discover the relationship between the reduced weight of people and their lifestyle records. It is valuable and important for patients to realize their own situation, to execute their weight-loss plan efficiently, and to improve their health. | en |
| dc.description.provenance | Made available in DSpace on 2021-06-08T00:01:35Z (GMT). No. of bitstreams: 1 ntu-102-R00922086-1.pdf: 2173737 bytes, checksum: b12fc62f97cebcdc3164d6b245fc2e92 (MD5) Previous issue date: 2013 | en |
| dc.description.tableofcontents | Chapter 1 Introduction 1
1.1 Background 1 1.2 Introduction to Telehealthcare System 3 1.3 Motivation and Objective 5 1.4 Related Work 7 1.5 Thesis Organization 8 Chapter 2 System Architecture 9 2.1 System Architecture 9 2.2 Interfaces Requirements 10 2.3 Interface of Patient Side 13 2.3.1 Weight Record 14 2.3.2 Dietary Record 14 2.3.3 Exercise and Sleep Record 17 2.3.4 Online Courses 18 2.3.5 Chart Analysis 19 2.4 Interface of Case Manager Side 20 Chapter 3 Materials and Methods 22 3.1 Materials and Patient Statistics 22 3.2 Feature Extraction and Categorization 23 3.3 Fisher Score 26 3.4 Support Vector Machine 27 3.5 Pearson’s Correlation Coefficient 29 Chapter 4 Result 31 4.1 Fisher Score and SVM 31 4.1.1 Fisher Score Order 31 4.1.2 SVM Weight and Prediction Result 35 4.1.3 Conclusion of Fisher Score and SVM Methods 36 4.2 Pearson’s Correlation Coefficient 37 Chapter 5 Discussion 39 5.1 Contribution and Innovation 39 5.2 Limitation 40 5.3 Future Work 41 5.3.1 Function Improvement 41 5.3.2 System Integration 42 Chapter 6 Conclusion 43 REFERENCE 44 | |
| dc.language.iso | en | |
| dc.title | 以網路服務為基礎結合手機程式的健康促進系統及資料探勘 | zh_TW |
| dc.title | A Web-Based Telehealthcare System with Mobile Application and Data Analysis | en |
| dc.type | Thesis | |
| dc.date.schoolyear | 101-2 | |
| dc.description.degree | 碩士 | |
| dc.contributor.oralexamcommittee | 陳澤雄,鐘玉芳,林正偉,黃國晉 | |
| dc.subject.keyword | 遠距照護,減重,個人化分析,飲食控制,行動裝置應用程式, | zh_TW |
| dc.subject.keyword | mobile application,web-based service,diet,telehealthcare,personal analysis, | en |
| dc.relation.page | 46 | |
| dc.rights.note | 未授權 | |
| dc.date.accepted | 2013-08-15 | |
| dc.contributor.author-college | 電機資訊學院 | zh_TW |
| dc.contributor.author-dept | 資訊工程學研究所 | zh_TW |
| 顯示於系所單位： | 資訊工程學系 | |
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| ntu-102-1.pdf 未授權公開取用 | 2.12 MB | Adobe PDF |
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