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題名:以機器學習法建立糖尿病營養衛教門診病人血糖變化之預測模型與系統以輔助臨床決策
書刊名:醫療品質雜誌
作者:劉美媛劉忠峰馬于珊陳佳群
作者(外文):Liu, Mei-yuanLiu, Chung-fengMa, Yu-shanChen, Chia-chun
出版日期:2022
卷期:16:4
頁次:頁22-29
主題關鍵詞:糖尿病機器學習預測系統糖化血色素併發症營養衛教Diabetes mellitusDMMachine learningPrediction systemGlycosylated hemoglobinHbA1cDiabetic-related complications and deathsNutrition education
原始連結:連回原系統網址new window
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  • 點閱點閱:5
期刊論文
1.Khan, M. A. B.、Hashim, M. J.、King, J. K.、Govender, R. D.、Mustafa, H.、Al Kaabi, J.(2020)。Epidemiology of Type 2 Diabetes: Global Burden of Disease and Forecasted Trends。Journal of Epidemiology and Global Health,10(1),107-111。  new window
2.吳英旬、吳美雯、張彩秀(20210700)。應用遠距照護模式提升第二型糖尿病個案之血糖控制成效。醫療品質雜誌,15(4),52-59。new window  延伸查詢new window
3.Chen, You-Ming、Kao, Yuan、Hsu, Chien-Chin(2021)。Real-time interactive artificial intelligence of things-based prediction for adverse outcomes in adult patients with pneumonia in the emergency department。Academic Emergency Medicine,28(11),1277-1285。  new window
4.Zhang, Pei-I、Hsu, Chien-Chin、Kao, Yuan(2020)。Real-time AI prediction for major adverse cardiac events in emergency department patients with chest pain。Scandinavian Journal of Trauma, Resuscitation and Emergency Medicine,28(1)。  new window
5.Contreras, I.、Vehi, J.(2018)。Artificial Intelligence for Diabetes Management and Decision Support: Literature Review。Journal of Medical Internet Research,20(5)。  new window
6.American Diabetes Association(2021)。6. Glycemic Targets: Standards of Medical Care in Diabetes: 2021。Diabetes Care,44(Suppl. 1),S73-S84。  new window
7.Laiteerapong, N.、Ham, S. A.、Gao, Y.(2019)。The Legacy Effect in Type 2 Diabetes: Impact of Early Glycemic Control on Future Complications (The Diabetes & Aging Study)。Diabetes Care,42(3),416-426。  new window
8.Hsieh, Hui-Min、Chiu, Herng-Chia、Lin, Yi-Ting、Shin, Shyi-Jang(2017)。A diabetes pay-for-performance program and the competing causes of death among cancer survivors with type 2 diabetes in Taiwan。International Journal for Quality in Health Care,29(4),512-520。  new window
9.Panaretos, D.、Koloverou, E.、Dimopoulos, A. C.(2018)。A comparison of statistical and machine-learning techniques in evaluating the association between dietary patterns and 10-year cardiometabolic risk (2002-2012): The ATTICA study。British Journal of Nutrition,120(3),326-334。  new window
10.Hargraves, I. G.、Montori, V. M.、Brito, J. P.(2019)。Purposeful SDM: A problem-based approach to caring for patients with shared decision making。Patient Education and Counseling,102(10),1786-1792。  new window
11.Chang, Ying-Jen、Hung, Kuo-Chuan、Wang, Li-Kai、Yu, C.、Chen, C.、Tay, H.、Wang, J.、Liu, C.(2021)。A Real-Time Artificial Intelligence-Assisted System to Predict Weaning from Ventilator Immediately after Lung Resection Surgery。International Journal of Environmental Research and Public Health,18(5)。  new window
12.Chawla, Nitesh V.、Bowyer, Kevin W.、Hall, Lawrence O.、Kegelmeyer, W. Philip(2002)。SMOTE: Synthetic Minority Over-sampling Technique。Journal of Artificial Intelligence Research,16(1),321-357。  new window
圖書
1.Burant, C. F.、Young, L. A.(2012)。Medical Management of Type 2 Diabetes。American Diabetes Association。  new window
 
 
 
 
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