Using methods from the data-mining and machine-learning literature for disease classification and prediction: A case study examining classification of heart failure subtypes

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作者： Austin,P.C. ^[1] ; Tu,J.V. ^[2] ; Ho,J.E. ; Levy,D. ; Lee,D.S.

作者单位： Institute for Clinical Evaluative Sciences, G1 06, 2075 Bayview Avenue, Toronto, ON M4N 3M5, Canada ^[1] National Heart, Lung and Blood Institute's Framingham Heart Study, 73 Mt. Wayte Ave., Framingham ^[2]

关键词 Bagging Boosting Classification Classification trees Heart failure Prediction Random forests Regression methods Regression trees Support vector machines

发布时间 2013-11-20

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Journal of Clinical Epidemiology

2013年66卷4期

398-407页

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Using methods from the data-mining and machine-learning literature for disease classification and prediction: A case study examining classification of heart failure subtypes

Journal of Clinical Epidemiology

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Journal of Clinical Epidemiology

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Using methods from the data-mining and machine-learning literature for disease classification and prediction: A case study examining classification of heart failure subtypes

Journal of Clinical Epidemiology

相似文献

Journal of Clinical Epidemiology

相关期刊

检索历史清除