论文标题
通过过程挖掘分析医疗数据：COVID-19案例研究
Analyzing Medical Data with Process Mining: a COVID-19 Case Study
论文作者
论文摘要
通过医疗设备的自动化和数字化，医疗数据可用性的最新可用性增加，通过数据科学的许多分支机构，可以对患者的医疗数据进行更准确和完整的分析。特别是，包括显示患者病史的时间戳的医疗记录使医疗信息作为事件序列的表示，有效地允许执行过程挖掘分析。在本文中，我们将介绍一些有关既定的过程挖掘技术获得的初步发现，该技术与COVID-19的最近流行病有关的Uniklinik Aachen医院患者的医疗数据。我们表明，工艺挖掘技术能够重建用于Covid患者的ICU治疗模型。
The recent increase in the availability of medical data, possible through automation and digitization of medical equipment, has enabled more accurate and complete analysis on patients' medical data through many branches of data science. In particular, medical records that include timestamps showing the history of a patient have enabled the representation of medical information as sequences of events, effectively allowing to perform process mining analyses. In this paper, we will present some preliminary findings obtained with established process mining techniques in regard of the medical data of patients of the Uniklinik Aachen hospital affected by the recent epidemic of COVID-19. We show that process mining techniques are able to reconstruct a model of the ICU treatments for COVID patients.
