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題名:應用多標籤分類機器學習方法改善透析低血壓風險
書刊名:臺東大學綠色科學學刊
作者:呂執中許文禹林軒名陳佳雯
作者(外文):Lyu, JrJungXu, Wen-yuLin, Hsuang-mingChen, Chia-wen
出版日期:2022
卷期:12:1
頁次:頁95-108
主題關鍵詞:透析低血壓血液透析機器學習多標籤分類Intradialytic hypotensionHemodialysisMachine learningMulti-label classification
原始連結:連回原系統網址new window
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期刊論文
1.Webster, A. C.、Nagler, E. V.、Morton, R. L.、Masson, P.(2017)。Chronic kidney disease。The Lancet,389(10075),1238-1252。  new window
2.Read, J.、Pfahringer, B.、Holmes, G.、Frank, E.(2011)。Classifier chains for multi-label classification。Machine Learning,85(3),333-359。  new window
3.Bowe, B.、Xie, Y.、Xu, E.、Al-Aly, Z.(2021)。Kidney Outcomes in Long COVID。Journal of the American Society of Nephrology,32(11),2851-2862。  new window
4.Flythe, J. E.、Xue, H.、Lynch, K. E.、Curhan, G. C.、Brunelli, S. M.(2015)。Association of mortality risk with various definitions of intradialytic hypotension。Journal of the American Society of Nephrology,26(3),724-734。  new window
5.Gomez-Pulido, J. A.、Gomez-Pulido, J. M.、Rodriguez-Puyol, D.、Polo-Luque, M. L.、Vargas-Lombardo, M.(2021)。Predicting the Appearance of Predicting the Appearance of Hypotension During Hemodialysis Sessions Using Machine Learning Classifiers。International Journal of Environmental Research and Public Health,18(5)。  new window
6.Guha, S.、Kumar, S.(2018)。Emergence of Big Data Research in Operations Management, Information Systems, and Healthcare: Past Contributions and Future Roadmap。Production and Operations Management,27(9),1724-1735。  new window
7.Gul, A.、Miskulin, D.、Harford, A.、Zager, P.(2016)。Intradialytic hypotensio。Curr Opin Nephrol Hypertens,25(6),545-550。  new window
8.Huang, J. C.、Tsai, Y. C.、Wu, P. Y.、Lien, Y. H.、Chien, C. Y.、Kuo, C. F.、Hung, J. F.、Chen, S. C.、Kuo, C. H.(2020)。Predictive modeling of blood pressure during hemodialysis: a comparison of linear model, random forest, support vector regression, XGBoost, LASSO regression and ensemble method。Comput Methods Programs Biomed,195。  new window
9.Keane, D. F.、Raimann, J. G.、Zhang, H.、Willetts, J.、Thijssen, S.、Kotanko, P.(2021)。The time of onset of intradialytic hypotension during a hemodialysis session associates with clinical parameters and mortality。Kidney International,99(6),1408-1417。  new window
10.Kotanko, P.、Garg, A. X.、Depner, T.、Pierratos, A.、Chan, C. T.、Levin, N. W.、Greene, T.、Larive, B.、Beck, G. J.、Gassman, J.、Kliger, A. S.、Stokes, J. B.(2015)。High Blood Pressure in Dialysis Patients: Cause, Pathophysiology, Influence on Morbidity, Mortality and Management。Hemodialysis International,19,386-401。  new window
11.Lee, H.、Yun, D.、Yoo, J.、Yoo, K.、Kim, Y. C.、Kim, D. K.、Oh, K.、Joo, K. W.、Kim, Y. S.、Kwal, N.、Han, S. S.(2021)。Deep Learning Model for Real-Time Prediction of Intradialytic Hypotension.。Clinical Journal of the American Society of Nephrology,16(3),396-406。  new window
12.Lin, C. J.、Chen, Y. Y.、Pan, C. F.、Wu, V.、Wu, C. J.(2019)。Dataset supporting blood pressure prediction for the management of chronic hemodialysis。Scientific Data,6(1)。  new window
13.Lin, Y.-C.、Lin, Y.-C.、Peng, C.-C.、Chen, K.-C.、Chen, H.-H.、Fang, T.-C.、Sung, S.-Y.(2018)。Effects of Cholesterol Levels on Mortality in Patients with Long-Term Peritoneal Dialysis Based on Residual Renal Function。Nutrients,10(3)。  new window
14.Liu, Y. S.、Yang, C. Y.、Chiu, P. F.、Lin, H. C.、Lo, C. C.、Lai, A. S.、Chang, C.、Lee, O. K.(2021)。Machine Learning Analysis of Time-Dependent Features for Predicting Adverse Events During Hemodialysis Therapy: Model Development and Validation Study。Journal of Medical Internet Research,23(9)。  new window
15.Maxwell, A.、Li, R.、Yang, B.、Weng, H.、Ou, A.、Hong, H.、Zhou, Z.、Gong, P.、Zhang, C.(2017)。Deep learning architectures for multi-label classification of intelligent health risk prediction。BMC Bioinformatics,18(Suppl 14)。  new window
16.Pliakos, K.、Geurts, P.、Vens, C.(2018)。Global multi-output decision trees for interaction prediction。Machine Learning,107(8-10),1257-1281。  new window
17.Pliakos, K.、Vens, C.、Tsoumakas, G.(2021)。Predicting Drug-Target Interactions With Multi-Label Classification and Label Partitioning。IEEE/ACM Transactions on Computational Biology and Bioinformatics,18(4),1596-1607。  new window
18.Reilly, R. F.(2014)。Attending Rounds: A Patient with Intradialytic Hypotension。Clinical Journal of the American Society of Nephrology,9(4),798-803。  new window
19.Sands, J. J.、Usvyat, L.A.、Sullivan, T.、Segal, J. H.、Zabetakis, P.、Kotanko, P.、Maddux, F. W.、Diaz-Buxo, J. A.(2014)。Intradialytic hypotension: frequency, sources of variation and correlation with clinical outcome。Hemodialysis international,18(2),415-422。  new window
20.Stefánsson, B. V.、Brunelli, S. M.、Cabrera, C.、Rosenbaum, D.、Anum, E.、Ramakrishnan, K.、Jensen, D. E.、Stalhammar, N. O.(2014)。Intradialytic hypotension and risk of cardiovascular disease。Clinical Journal of the American Society of Nephrology,9(12),2124-2132。  new window
21.Zhang, M.-L.、Zhou, Z.-H.(2014)。A Review on Multi-Label Learning Algorithms。IEEE Transactions on Knowledge and Data Engineering,26(8),1819-1837。  new window
22.Zhou, L.、Zheng, X.、Yang, D.、Wang, Y.、Bai, X.、Ye, X.(2021)。Application of multi-label classification models for the diagnosis of diabetic complications。BMC Medical Informatics and Decision Making,21(1)。  new window
23.Zou, Q.、Qu, K.、Luo, Y.、Yin, D.、Ju, Y.、Tang, H.(2018)。Predicting Diabetes Mellitus With Machine Learning Techniques。Frontiers in Genetics,9。  new window
其他
1.USRDS(2020)。End Stage Renal Disease: Chapter 11 International Comparisons,https://adr.usrds.org/2020/end-stage-renal-disease/11-international-comparisons。  new window
 
 
 
 
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