Evidential MACE prediction of acute coronary syndrome using electronic health records
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Huilong Duan | Zhengxing Huang | Wei Dong | Kunlun He | Xudong Lu | Danqing Hu | K. He | H. Duan | Xudong Lu | Zhengxing Huang | D. Hu | W. Dong
[1] Trevor Hastie,et al. Linear Model Selection and Regularization , 2021, Springer Texts in Statistics.
[2] Andrew P. Bradley,et al. The use of the area under the ROC curve in the evaluation of machine learning algorithms , 1997, Pattern Recognit..
[3] J. Kai,et al. Can machine-learning improve cardiovascular risk prediction using routine clinical data? , 2017, PloS one.
[4] Huilong Duan,et al. Utilizing Chinese Admission Records for MACE Prediction of Acute Coronary Syndrome , 2016, International journal of environmental research and public health.
[5] Xiaohong Yuan,et al. Engine fault diagnosis based on multi-sensor information fusion using Dempster-Shafer evidence theory , 2007, Inf. Fusion.
[6] Theresa Beaubouef,et al. Rough Sets , 2019, Lecture Notes in Computer Science.
[7] Daniela M. Witten,et al. An Introduction to Statistical Learning: with Applications in R , 2013 .
[8] M. Motwani,et al. Machine learning for prediction of all-cause mortality in patients with suspected coronary artery disease: a 5-year multicentre prospective registry analysis , 2016, European heart journal.
[9] G. Lamas,et al. ACC/AHA guidelines for the management of patients with ST-elevation myocardial infarction--executive summary. A report of the American College of Cardiology/American Heart Association Task Force on Practice Guidelines (Writing Committee to revise the 1999 guidelines for the management of patients wi , 2004, Journal of the American College of Cardiology.
[10] Wei-Yin Loh,et al. Classification and regression trees , 2011, WIREs Data Mining Knowl. Discov..
[11] Yong Hu,et al. A novel method to use fuzzy soft sets in decision making based on ambiguity measure and Dempster-Shafer theory of evidence: An application in medical diagnosis , 2016, Artif. Intell. Medicine.
[12] A. Jaffe,et al. 2014 AHA/ACC guideline for the management of patients with non-ST-elevation acute coronary syndromes: a report of the American College of Cardiology/American Heart Association Task Force on Practice Guidelines. , 2014, Circulation.
[13] Huilong Duan,et al. A probabilistic topic model for clinical risk stratification from electronic health records , 2015, J. Biomed. Informatics.
[14] Zhengxing Huang,et al. MACE prediction of acute coronary syndrome via boosted resampling classification using electronic medical records , 2017, J. Biomed. Informatics.
[15] Glenn Shafer,et al. A Mathematical Theory of Evidence , 2020, A Mathematical Theory of Evidence.
[16] Zhi Xiao,et al. The prediction for listed companies' financial distress by using multiple prediction methods with rough set and Dempster-Shafer evidence theory , 2012, Knowl. Based Syst..
[17] Arthur P. Dempster,et al. Upper and Lower Probabilities Induced by a Multivalued Mapping , 1967, Classic Works of the Dempster-Shafer Theory of Belief Functions.
[18] E W Steyerberg,et al. Predictors of outcome in patients with acute coronary syndromes without persistent ST-segment elevation. Results from an international trial of 9461 patients. The PURSUIT Investigators. , 2000, Circulation.
[19] Andreas Christmann,et al. Support vector machines , 2008, Data Mining and Knowledge Discovery Handbook.
[20] Giuseppe Biondi-Zoccai,et al. TIMI, GRACE and alternative risk scores in Acute Coronary Syndromes: a meta-analysis of 40 derivation studies on 216,552 patients and of 42 validation studies on 31,625 patients. , 2012, Contemporary clinical trials.
[21] Leo Breiman,et al. Bagging Predictors , 1996, Machine Learning.
[22] Carlos Aguiar,et al. TIMI, PURSUIT, and GRACE risk scores: sustained prognostic value and interaction with revascularization in NSTE-ACS. , 2005, European heart journal.
[23] Á. Avezum,et al. Predictors of hospital mortality in the global registry of acute coronary events. , 2003, Archives of internal medicine.
[24] Yoav Freund,et al. A decision-theoretic generalization of on-line learning and an application to boosting , 1995, EuroCOLT.
[25] E. Antman,et al. The TIMI risk score for unstable angina/non-ST elevation MI: A method for prognostication and therapeutic decision making. , 2000, JAMA.