论文标题
作为被告的公共当局：使用贝叶斯网络来确定奥克登之后的疏忽主张成功的可能性
Public Authorities as Defendants: Using Bayesian Networks to determine the Likelihood of Success for Negligence claims in the wake of Oakden
论文作者
论文摘要
目前，有几个国家正在调查老年护理部门的忽视，质量不佳和虐待问题的问题。在大多数情况下，国家许可和监控老年护理提供者经常引入严重的利益冲突，因为该州还经营着我们最脆弱的人民受到照顾的许多设施。在提供的护理标准中提出问题的地方，许多国家被许多人视为一个深厚的被告，并成为高价值诉讼的目标。本文借鉴了一个基于英国法律传统的一个司法管辖区的案件和情况，并提出了一种贝叶斯解决方案，能够确定对公民原告的成功概率，这些公民对公民权威被告提出过失索赔。使用对案件审计数据进行培训的贝叶斯网络的使用表明，即使原告案符合成功过失诉讼的所有要求，也无法确保成功。只有在这些案件中，只有大约五分之一的原告才能针对被告公共当局取得成功。
Several countries are currently investigating issues of neglect, poor quality care and abuse in the aged care sector. In most cases it is the State who license and monitor aged care providers, which frequently introduces a serious conflict of interest because the State also operate many of the facilities where our most vulnerable peoples are cared for. Where issues are raised with the standard of care being provided, the State are seen by many as a deep-pockets defendant and become the target of high-value lawsuits. This paper draws on cases and circumstances from one jurisdiction based on the English legal tradition, Australia, and proposes a Bayesian solution capable of determining probability for success for citizen plaintiffs who bring negligence claims against a public authority defendant. Use of a Bayesian network trained on case audit data shows that even when the plaintiff case meets all requirements for a successful negligence litigation, success is not often assured. Only in around one-fifth of these cases does the plaintiff succeed against a public authority as defendant.
