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首页> 外文期刊>BMC Medical Informatics and Decision Making >Risk factor analysis of device-related infections: value of re-sampling method on the real-world imbalanced dataset
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Risk factor analysis of device-related infections: value of re-sampling method on the real-world imbalanced dataset

机译：设备相关感染的危险因素分析：重新采样方法在真实世界中不平衡数据集上的价值

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The incidence of cardiac implantable electronic device infection (CIEDI) is low and usually belongs to the typical imbalanced dataset. We sought to describe our experience on the management of the imbalanced CIEDI dataset. Database from two centers of patients undergoing device implantation from 2001 to 2016 were reviewed retrospectively. Re-sampling technique was used to improve the classifier accuracy. CIEDI was identified in 28 out of 4959 procedures (0.56%); a high imbalance existed in the sizes of the patient profiles. In univariate analyses, replacement procedure and male were significantly associated with an increase in CIEDI: (53.6% vs. 23.4, 0.8% vs. 0.3%, P 0.05). The application of re-sampling techniques can generate useful synthetic samples for the classification of imbalanced data and improve the accuracy of predicting efficacy of CIEDI. The peri-operative assessment should be intensified in male and aged patients as well as patients receiving replacement procedures for the risk of CIEDI.
机译：心脏植入式电子设备感染（CIEDI）的发生率较低，通常属于典型的不平衡数据集。我们试图描述我们在不平衡CIEDI数据集管理方面的经验。回顾性地回顾了2001年至2016年两个设备植入患者中心的数据库。使用重采样技术来提高分类器的准确性。在4959例程序中有28例（0.56％）被确定为CIEDI;患者档案的大小存在高度不平衡。在单因素分析中，替换程序和男性与CIEDI的增加显着相关：（53.6％比23.4，0.8％比0.3％，P 0.05）。重新采样技术的应用可以生成有用的合成样本，用于不平衡数据的分类，并提高CIEDI疗效预测的准确性。男性和老年患者以及接受CIEDI风险置换手术的患者应加强围手术期评估。

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