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完整後設資料紀錄
DC 欄位 | 值 | 語言 |
---|---|---|
dc.contributor.advisor | 任立中(Li-Chung Jen) | |
dc.contributor.author | Shih-Hsin Chen | en |
dc.contributor.author | 陳世昕 | zh_TW |
dc.date.accessioned | 2021-06-08T03:46:10Z | - |
dc.date.copyright | 2019-02-15 | |
dc.date.issued | 2018 | |
dc.date.submitted | 2019-02-12 | |
dc.identifier.citation | 中文文獻
1. 陳靜怡(2005),「購買量與購買時程雙變量之預測-層級貝氏潛藏行為模型之建構」,國立臺灣大學國際企業研究所博士論文 2. 任立中、陳靜怡(2015),「行銷研究發展有效行銷策略之基石」,前程文化事業有限公司。 3. 社團法人中華民國風濕病醫學會(2016),「台灣痛風與高尿酸血症2016診治指引」 英文文獻 1. Arromdee, E., Michet CJ., Crowson CS., O’Fallon WM., and Gabriel SE. (2002), “Epidemiology of gout: is the incidence rising?”, J Rheumatol, pp. 2403-6 2. Chen SY., Chen CL., Shen ML., and Kamatani N. (2003), “Trends in the manifestations of gout in Taiwan”, Rheumatology (Oxford), pp. 1529-33 3. Chuang S.Y., Lee SC., Hsieh YT., and Pan WH. (2011), “Trends in Hyperuricemia and Gout Prevalence: Nutrition and Health Survey in Taiwan from 1993-1996 to 2005-2008”, Asia Pac J Clin Nutr, pp.1529-33 4. Choi HK., Atkinson K., Karlson EW., Willett W., and Curhan G. (2004), Alcohol intake and risk of incident gout in men: a prospective study. 5. Faller J., and Fox IH. (1982), Ethanol-induced Hyperuricemia: Evidence for Increased Urate Production by Activation of Adenine Nucleotide Turnover. 6. Harris CM., Lloyd DC., and Lewis J. (1995), “The Prevalence and Prophylaxis of Gout in England”, J Clin Epidemiol, pp. 1153-8 7. Neogi T., Chen C, Niu J, Chaisson C, Hunter DJ, and Zhang Y. (2014), Alcohol quantity and type on risk of recurrent gout attacks: an internet-based case-crossover study. 8. Talbott J.H., and Yu T.F. (1976), “Gout and uric acid metabolism” , New York, Stratton 9. Vitart V., Rudan I., Hayward C., Gray NK., Floyd J., Palmer CN., Knott SA., Kolcic I., Polasek O., Graessler J., Wilson JF., Marinaki A., Riches PL., Shu X., Janicijevic B., Smolej-Narancic N., Gorgoni B., Morgan J., Campbell S., Biloglav Z., Barac-Lauc L., Pericic M., Klaric IM., Zgaga L., Skaric-Juric T., Wild SH., Richardson WA., Hohenstein P., Kimber CH., Tenesa A., Donnelly LA., Fairbanks LD., Aringer M., McKeigue PM., Ralston SH., Morris AD., Rudan P., Hastie ND., Campbell H., Wright AF. (2008), “SLC2A9 is a newly identified urate transporter influencing serum urate concentration, urate excretion and gout”, Nat Genet, pp.437-42 10. Yu K.H., Ho H.H., Chen S.F., Luo S.F. (2004), “Gout complicated with necrotizing fasciitis—report of 15 cases”, Rheumatology (Oxford), pp.518-21 11. Yu KH., Luo SF., Liou LB., Wu YJ., Tsai WP., Chen JY., and Ho HH. (2003), “Concomitant septic and gouty arthritis--an analysis of 30 cases”, Rheumatology (Oxford), pp.1062-6 | |
dc.identifier.uri | http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/21773 | - |
dc.description.abstract | 本次研究意在探討如何以用藥量的變化來建立指標以及如何應用該指標,使得醫療就診資料庫不再僅是作為記錄用,可以提供額外更多的價值讓疾病相關的廠商、醫療機構、政府等關係人,能藉由用藥指標去推測未來的情況變化,再依照不同的情勢,對決策作出不同的調整,希冀本次研究可以做為醫療就診資料庫創新的先鋒,以期未來依據不同的病症,找出各自適合的模式去建立該疾病的指標,將就診資料庫的價值最大化。
本次研究採用某一醫療體系的就診資料庫,其在六個直轄市:台北市、新北市、桃園市、台中市、台南市、高雄市所遍及診所的資料庫,期間坐落於2015年6月至2017年6月共計25個月的患者就診紀錄,利用患者每次領取藥的用藥量以及每次領取藥中間所間隔的天數作為研究數據,建立其活躍度指標,另外配合網路聲量,探討其活躍度指標的變化、網路聲量與該疾病最相關的因素之關係研究,。 以痛風為例,推測得出酒類實徵淨額領先痛風活躍度指標約1至2個月,而網路聲量領先2至4個月,皆可作為預測痛風用藥量變化的參考數據。 | zh_TW |
dc.description.abstract | This study aims to explore how to establish index based on changes in drug consumption and how to apply the index in the future. The result of this study makes medical visits database no longer a medical record, but can provide additional value for stakeholders, such as pharmaceutical companies, medical institutions, and Government. The drug index enables those stakeholders to speculate about future changes, and to make adjustments to the decisions in accordance with different situations. The researcher expects this study can be viewed as a pioneer in the innovation of medical visits database, and hopes future researchers could use appropriate models to establish indexes based on different diseases, and maximize the value of the medical visits database.
X Hospital provides this study the medical visits data from six major cities—Taipei City, New Taipei City, Taoyuan City, Taichung City, Tainan City, and Kaohsiung City. The data period ranges from June 2015 to June 2017, a total of 25 months of medical visits. The study adopts the drug consumption of each prescription and the days between each prescription as research data to establish activity index. The other data is internet voice related to the disease. After that, the study examines the relationship between changes in the activity index, the most relevant causes of the disease, and internet voice. Taking gout as example, the wine tax leads ahead gout activity index one to two months, and the internet voice regarding gout ahead of index two to four months. Both of two data enable to provide valid information to improve the prediction of gout medicine consumption. | en |
dc.description.provenance | Made available in DSpace on 2021-06-08T03:46:10Z (GMT). No. of bitstreams: 1 ntu-107-R05724054-1.pdf: 1832091 bytes, checksum: a4b116c4ca6bdf24f3cfead6c1c53bf4 (MD5) Previous issue date: 2018 | en |
dc.description.tableofcontents | 論文口試委員審定書 i
誌謝 ii 摘要 iii Abstract iv 圖目錄 vi 表目錄 vii 第一章 緒論 1 第一節 研究背景與動機 1 第二節 研究問題及假設 3 第三節 研究流程 4 第二章 文獻回顧 5 第一節 痛風的定義及特徵 5 第二節 領取藥行為 13 第三章 研究方法 14 第一節 顧客活躍度指標 14 第二節 簡單線性迴歸 18 第三節 標的藥物的篩選 20 第四章 實證研究 22 第一節 資料蒐集與處理 22 第二節 樣本資料敘述 25 第三節 顧客活躍度指標與其他資料之關係探討 31 第五章 結論與建議 37 第一節 研究結論 37 第二節 管理意涵 38 第三節 研究限制與未來建議 39 第六章 參考文獻 41 | |
dc.language.iso | zh-TW | |
dc.title | 醫療大數據-痛風用藥指標的建立與應用 | zh_TW |
dc.title | The Big Data in Medicine-
Construction and Application of Gout medicine index | en |
dc.type | Thesis | |
dc.date.schoolyear | 107-1 | |
dc.description.degree | 碩士 | |
dc.contributor.oralexamcommittee | 周建亨(Chien-Heng Chou),陳靜怡(Ching-I Chen) | |
dc.subject.keyword | 顧客活躍性指標,痛風,酒稅,尿酸,網路聲量, | zh_TW |
dc.subject.keyword | Activity Index,Gout,Alcohol tax,Uric Acid,Internet voice, | en |
dc.relation.page | 48 | |
dc.identifier.doi | 10.6342/NTU201900490 | |
dc.rights.note | 未授權 | |
dc.date.accepted | 2019-02-12 | |
dc.contributor.author-college | 管理學院 | zh_TW |
dc.contributor.author-dept | 國際企業學研究所 | zh_TW |
顯示於系所單位: | 國際企業學系 |
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