JAHA:经皮冠状动脉介入治疗后住院死亡率的决定因素

2019-03-05 xing.T 网络

由此可见,研究人员利用先进机器学习算法的大数据方法识别危险因素之间的新关联,并为预测经皮冠状动脉介入治疗患者的院内死亡率提供高准确度的信息。

准确预测经皮冠状动脉介入术后院内死亡发生的能力对于临床决策非常重要。近日,血管疾病领域权威杂志JAHA上发表了一篇研究文章,研究人员试图利用纽约经皮冠状动脉介入报告系统,以阐明在纽约州接受经皮冠状动脉介入治疗的患者的住院死亡率的决定因素。

研究人员评估了2004年至2012年期间接受经皮冠状动脉介入治疗的479804名患者,利用传统和先进的机器学习算法来确定住院死亡率的重要预测因子。将整个数据随机分成训练集(80%)和测试集(20%)。使用调谐超参数生成训练模型,同时在绘制受试者特征曲线并使用曲线下面积(AUC)的输出测量值和相关的95%CI后,在测试集上独立评估模型的性能。

受试者的平均年龄为65.2±11.9岁,女性为68.5%。患者人群中有2549名住院病人死亡。增强的集合算法(AdaBoost)具有最佳区分,AUC为0.927(95%CI为0.923-0.929),而XGBoost的AUC为0.913(95%CI为0.906-0.919,P=0.02),随机森林图的AUC为0.892(95%CI为0.889-0.896,P<0.01),对于logistic回归AUC为0.908(95%CI为0.907-0.910,P<0.01)。2个最重要的预测因子是年龄和射血分数。

由此可见,研究人员利用先进机器学习算法的大数据方法识别危险因素之间的新关联,并为预测经皮冠状动脉介入治疗患者的院内死亡率提供高准确度的信息。

原始出处:


Subhi J.et al.Determinants of In‐Hospital Mortality After Percutaneous Coronary Intervention: A Machine Learning Approach.JAHA.2019.https://www.ahajournals.org/doi/full/10.1161/JAHA.118.011160

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    2019-03-07 zhaohui6731
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    2019-03-06 smartxiuxiu

    医生就够苦逼了,往后好了,不但要学医还得学习程序了……

    0

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    2019-03-05 12561c82m53暂无昵称

    学习了。谢谢分享

    0

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    2019-03-05 12561c82m53暂无昵称

    啊哈

    0

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    2019-03-05 1209e435m98(暂无昵称)

    学习了,谢谢分享

    0

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