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Adverse Drug Event Prevention in Neonatal Care: A Rule-Based Approach

机译:新生儿护理中不良药物事件的预防:基于规则的方法

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Adverse drug events (ADE) in a neonatal unit can be of great importance due to the underlying nature and the special characteristics of the patients. This paper presents our work on the development of a knowledge base (KB) for supporting the identification and prevention of ADEs. First, a literature review was conducted to identify ADEs observed through the use of the most commonly-used drugs in a specific neonatal unit. Then, the acquired knowledge was encoded according to an ontological data model developed for the representation of the specific facts for the neonatal unit. Finally, a rule-based prototype consisting of 164 rules was implemented in order to represent and simulate the inference procedure about preventing ADEs.
机译:由于患者的内在本质和特殊特征,新生儿单位中的不良药物事件(ADE)可能非常重要。本文介绍了我们为支持ADE的识别和预防而开发的知识库(KB)的工作。首先,进行了文献综述,以鉴定通过在特定新生儿单位中使用最常用的药物观察到的ADE。然后,根据本体数据模型对获取的知识进行编码,该本体数据模型用于表示新生儿单位的特定事实。最后,实现了一个由164个规则组成的基于规则的原型,以表示和模拟有关防止ADE的推理过程。

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