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A Novel Classification Method with Superior Prediction of Drug Arrhythmia Risk

机译：一种可以更好地预测药物性心律失常风险的新分类方法

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Cummins Megan A.; Sobie Eric A.;
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年度 2015
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2. Adult Human Primary Cardiomyocyte-Based Model for the Simultaneous Prediction of Drug-Induced Inotropic and Pro-arrhythmia Risk [J] . Nathalie Nguyen, William Nguyen, Brynna Nguyenton, Frontiers in Physiology . 2017,第10期

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4. Superiority analysis of MLMS over adaptive filtering methods for hearth arrhythmias detection [C] . Khan Md.Imran, Hossain Md.Billal, Uddin A.F.M.Nokib International Conference on Electrical and Computer Engineering . 2012

机译：MLMS优于自适应滤波方法的心律失常检测的优越性分析
5. Data-Driven Methods for Modeling Healthcare Risks: Insights and Applications in Drug Surveillance and Breast Cancer Incidence Prediction [D] . ?Guan, Yihan 2012

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6. Drug‐induced shortening of the electromechanical window is an effective biomarker for in silico prediction of clinical risk of arrhythmias [O] . Elisa Passini, Cristian Trovato, Pierre Morissette, 2019

机译：药物引起的机电窗口缩短是计算机模拟心律失常临床风险的有效生物标志物
7. Adult Human Primary Cardiomyocyte-Based Model for the Simultaneous Prediction of Drug-Induced Inotropic and Pro-arrhythmia Risk [O] . Nathalie Nguyen, William Nguyen, Brynna Nguyenton, 2017

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8. Classification of Electrocardiogram Using SOM, LVQ and Beat Detection Methods in Localization of Cardiac Arrhythmias. [R] . Baig, M. H., Rasool, A., Bhatti, M. I. 2001

机译：心电图的心电图分类使用sOm，LVQ和节拍检测方法定位心律失常。

A Novel Classification Method with Superior Prediction of Drug Arrhythmia Risk

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