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首页> 外文会议>International Conference on Machine Learning and Applications >Artificial Neural Networks Prognostic Evaluation of Post-Surgery Complications in Patients Underwent To Coronary Artery Bypass Graft Surgery
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Artificial Neural Networks Prognostic Evaluation of Post-Surgery Complications in Patients Underwent To Coronary Artery Bypass Graft Surgery

机译：人工神经网络预后对冠状动脉旁路移植手术患者患者后手术后并发症的预后评估

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摘要

In this paper we explore the applications of artificial neural networks in the field of heart surgery, more specifically in the prognostic evaluation of post-surgery complications, such as death, reintubation, prolonged mechanical ventilation and the need for extracorporeal circulation in patients who underwent coronary artery bypass graft surgery. Predictive variables were limited to information available before the procedure, and outcome variables were represented only by events that occurred postoperatively. We also employed the principal component analysis technique to further reduce the complexity of our input data set in an attempt to improve artificial neural network efficiency and reliability.
机译：在本文中，我们探讨了人工神经网络在心脏手术领域的应用，更具体地，在手术后并发症的预后评估中，如死亡，重新涂覆，长时间的机械通风以及接受冠状动脉的患者的体外循环动脉旁路移植手术。预测变量仅限于程序前可用的信息，并且仅由术后发生的事件表示结果变量。我们还采用了主要成分分析技术，以进一步降低我们的输入数据集的复杂性，以提高人工神经网络效率和可靠性。

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