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Nurse call data analysis using Bayesian network modeling

机译:使用贝叶斯网络建模护士呼叫数据分析

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This paper considers and suggests efficient patrol of nurses from analysis result of nurse calls log. As the method of analysis, we consider applying Bayesian network. This is one of probability model that is available for prospects of a phenomenon, rational mind decision and so on. In conventional studies, correlation coefficient was used to examine relation between phenomena. However, we could analyze in detail by using Bayesian network because we didn't overlook the information that may overlook by using correlation coefficient. Applying the proposed method to total 5,478 nurse call data, we have obtained following knowledge: (a) some reasons of nurse call are inferred by situation of patient and demand level of nurse call, (b) an efficient patrol of nurse can be devised, and (c) Bayesian network didn't overlook the information compared with conventional method.
机译:本文考虑了来自护士呼叫日志的分析结果,提出了护士的有效巡逻。作为分析方法,我们考虑应用贝叶斯网络。这是可用于现象,理性思维决策等的前景的概率模型之一。在常规研究中,使用相关系数来检查现象之间的关系。但是,我们可以通过使用贝叶斯网络详细分析,因为我们没有忽略通过使用相关系数可能忽略的信息。将拟议的方法应用于总5,478名护士呼叫数据,我们已经获得了以下知识:(a)护士呼叫的某些原因是通过患者和需求水平的护士呼叫的情况推断出来,(b)可以设计一项有效的护士巡逻, (c)与传统方法相比,贝叶斯网络并没有忽略信息。

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