A dynamic Bayesian network approach for time-specific survival probability prediction in patients after ventricular assist device implantation

机译：动态贝叶斯网络方法用于心室辅助装置植入后患者的特定时间生存概率预测

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In this work we present a decision support tool for the calculation of time-dependent survival probability for patients after ventricular assist device implantation. Two different models have been developed, a short term one which predicts survival for the first three months and a long term one that predicts survival for one year after implantation. In order to model the time dependencies between the different time slices of the problem, a dynamic Bayesian network (DBN) approach has been employed. DBNs order to capture the temporal events of the patient disease and the temporal data availability. High accuracy results have been reported for both models. The short and long term DBNs reached an accuracy of 96.97% and 93.55% respectively.

机译：在这项工作中，我们提出了一个决策支持工具，用于计算室心辅助装置植入后患者的时间依赖存存概率。已经开发了两种不同的模型，这是一个短期，这是前三个月的生存，并且长期预测植入后一年的生存。为了模拟问题的不同时间片之间的时间依赖性，已经采用了一种动态贝叶斯网络（DBN）方法。 DBNS命令捕获患者疾病的时间事件和时间数据可用性。两种型号都报告了高精度结果。短期和长期DBN分别达到96.97％和93.55％的准确性。

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《Annual International Conference of the IEEE Engineering in Medicine and Biology Society》|2014年|3172-3175|共4页
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Exarchos Themis P.; Rigas George; Goletsis Yorgos; Stefanou Kostas; Jacobs Steven; Trivella Maria-Giovanna; Fotiadis Dimitrios I.;
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Accuracy; Bayes methods; Biological system modeling; Diseases; Heart; Lungs; Medical treatment;

机译：准确性;贝叶斯方法;生物系统建模;疾病;心脏;肺;药物治疗;

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1. Functional and haemodynamic recovery after implantation of continuous-flow left ventricular assist devices in comparison with pulsatile left ventricular assist devices in patients with end-stage heart failure [J] . PruijstenR.V., LokS.I., KirkelsH.H., European journal of heart failure: journal of the Working Group on Heart Failure of the European Society of Cardiology . 2012,第3期

机译：终末期心力衰竭患者与连续搏动性左心室辅助装置相比，植入连续流左心室辅助装置后的功能和血液动力学恢复
2. Functional and haemodynamic recovery after implantation of continuous-flow left ventricular assist devices in comparison withn pulsatile left ventricular assist devices in patients with end-stage heart failure [J] . Nicolaas de Jonge European Journal of Heart Failure . 2012,第3期

机译：终末期心力衰竭患者与连续搏动性左心室辅助装置相比，植入连续流左心室辅助装置后的功能和血液动力学恢复
3. Less Invasive Approach to Left Ventricular Assist Device Implantation May Improve Survival in High-Risk Patients [J] . Innovations: technology and techniques in cardiothoracic and vascular surgery . 2020,第3期

机译：左心室辅助装置植入较少的侵入性方法可以改善高风险患者的存活
4. A dynamic Bayesian network approach for time-specific survival probability prediction in patients after ventricular assist device implantation [C] . Exarchos Themis P., Rigas George, Goletsis Yorgos, Annual International Conference of the IEEE Engineering in Medicine and Biology Society . 2014

机译：心室辅助装置植入后患者时间特异性存活概率预测的动态贝叶斯网络方法
5. Optimal Timing of Referral of Heart Failure Patients for Left Ventricular Assist Device Implantation. [D] . Chaplin, Lisa Thomas. 2011

机译：心力衰竭患者左心室辅助装置植入的最佳转诊时间。
6. Dynamics of bone turnover markers in patients with heart failure and following haemodynamic improvement through ventricular assist device implantation [O] . Christina Wu, Tomoko S. Kato, Katherine Pronschinske, -1

机译：心力衰竭和通过心室辅助装置植入改善血流动力学的患者骨转换指标的动态
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A dynamic Bayesian network approach for time-specific survival probability prediction in patients after ventricular assist device implantation

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