Predicting Discharge Mortality after Acute Ischemic Stroke Using Balanced Data

作者: David S. Liebeskind , William Speier , Jeffery L. Saver , Alex A. T. Bui , King Chung Ho

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摘要: … predicting stroke mortality at discharge that includes methods for data … approach to identify the optimal set for each classifier by … the stroke dataset used, the imbalanced dataset problem, …

参考文章(44)
Leo Breiman, Random Forests Machine Learning archive. ,vol. 45, pp. 5- 32 ,(2001) , 10.1023/A:1010933404324
J M Bamford, P A Sandercock, C P Warlow, J Slattery, Interobserver agreement for the assessment of handicap in stroke patients. Stroke. ,vol. 20, pp. 828- 828 ,(1989) , 10.1161/01.STR.20.6.828
David Martin Ward Powers, None, Evaluation: from Precision, Recall and F-measure to ROC, Informedness, Markedness and Correlation arXiv: Learning. ,vol. 2, pp. 37- 63 ,(2011)
Ioannis Katakis, O Maimon, Grigorios Tsoumakas, Ioannis Vlahavas, Mining Multi-label Data Data Mining and Knowledge Discovery Handbook. pp. 667- 685 ,(2009) , 10.1007/978-0-387-09823-4_34
Alcantara Rb, Sesen Mb, Fox J, Kadir T, Brady M, Survival prediction and treatment recommendation with Bayesian techniques in lung cancer. american medical informatics association annual symposium. ,vol. 2012, pp. 838- 847 ,(2012)
Christopher M. Bishop, Pattern Recognition and Machine Learning ,(2006)
Viv Bewick, Liz Cheek, Jonathan Ball, Statistics review 14: Logistic regression Critical Care. ,vol. 9, pp. 112- 118 ,(2005) , 10.1186/CC3045
Charalampos Doukas, Theodosis Goudas, Simon Fischer, Ingo Mierswa, Aristotle Chatziioannou, Ilias Maglogiannis, An open data mining framework for the analysis of medical images: Application on Obstructive Nephropathy microscopy images international conference of the ieee engineering in medicine and biology society. ,vol. 2010, pp. 4108- 4111 ,(2010) , 10.1109/IEMBS.2010.5627332