Summarizing patient daily activities for clinical pathway mining

Xiao Xu, Tao Jin, Jianmin Wang
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引用次数: 12

Abstract

Clinical Pathway is ubiquitous and plays an essential role in clinical workflow management. The combination of topic modeling and process mining is an efficient approach to get a non-static and topic-based process model. Topic modeling is used to group the activities of each clinical day into the latent topics, and process mining is used to generate a concise workflow model based on these topics. However, because of the specificity of clinical data, it usually suffers from the performance of topic modeling. In this paper, we take an important clinical practice, all the same activities in one clinical day tend to represent the same clinical goal, into account to enhance the effectiveness of topic modeling. The experiments on real data show significant performance gains of our approach.
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总结患者日常活动,挖掘临床路径
临床路径无处不在,在临床工作流程管理中起着至关重要的作用。主题建模与过程挖掘相结合是获得非静态、基于主题的过程模型的有效方法。利用主题建模方法将临床日的活动分组到潜在主题中,利用流程挖掘方法基于这些主题生成简洁的工作流模型。然而,由于临床数据的特殊性,通常会影响主题建模的性能。在本文中,我们以一个重要的临床实践为例,考虑到一个临床日中所有相同的活动倾向于代表相同的临床目标,以提高主题建模的有效性。在实际数据上的实验表明,我们的方法有显著的性能提升。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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