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High Accuracy of Call Triage Decision by Bayesian Network

机译:贝叶斯网络的高精度呼叫分类决策

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A new call triage system, a key part of an emergency support system with a stochastic network model, is examined. Call triage is an operation that allows efficient choice of service grade and dispatching of a suitable rescue team service based on information obtained from a phone call. Call triage is now being tested in a few cities and is showing some benefit. However, there is the issue that if under-tri-age, in which the condition of the patient is underestimated, is eliminated, then the efficiency is degraded in the form of over-triage. In this report, in order to overcome the issue, a Bayesian network scheme is evaluated for a call triage system. The results of experiments with a real call triage data set show that the Bayesian network improves accuracy.
机译:研究了一种新的呼叫分类系统,它是具有随机网络模型的紧急支持系统的关键部分。呼叫分类是一种操作,该操作可根据从电话中获取的信息,有效地选择服务等级并分配合适的救援队服务。呼叫分类现在正在一些城市进行测试,并显示出一些好处。但是,存在以下问题:如果消除了患者的状况被低估的过度分流,则效率会以过度分流的形式降低。在此报告中,为了克服此问题,对呼叫分类系统评估了贝叶斯网络方案。真实呼叫分类数据集的实验结果表明,贝叶斯网络提高了准确性。

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