High Accuracy of Call Triage Decision by Bayesian Network
High Accuracy of Call Triage Decision by Bayesian Network
复制标题
贝叶斯网络呼叫分类决策的高精度
DOI：
10.1002/ecj.11439
复制
发表时间：
2014
影响因子：
0.3
通讯作者：
Tomoki Hamagami
中科院分区：
文献类型：
--
作者：
Syouta Yuniki;Tomoki Hamagami
研究了一种新的呼叫分流系统，它是具有随机网络模型的应急保障系统的关键部分。呼叫分类是一种操作，它允许根据从电话中获得的信息有效地选择服务等级并调度合适的救援队服务。呼叫分流目前正在几个城市进行测试，并显示出一些好处。然而，有一个问题是，如果低估患者病情的分诊不足被消除，那么效率就会以过度分诊的形式降级。在这份报告中，为了克服这个问题，评估了一个呼叫分流系统的贝叶斯网络方案。在实际呼叫分类数据集上的实验结果表明，贝叶斯网络提高了分类准确率。《电子通讯》杂志，97(1)：62-69,2014；在线出版于Wiley在线图书馆(Wileyonlinelibrary.com)。DOI 10.1002/ecj.11439
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‐triage, 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. © 2013 Wiley Periodicals, Inc. Electron Comm Jpn, 97(1): 62–69, 2014; Published online in Wiley Online Library (wileyonlinelibrary.com). DOI 10.1002/ecj.11439