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.
翻译:最近通过医疗设备自动化和数字化,医疗数据的供应量有了增加,从而能够通过许多数据科学分支更准确、更全面地分析病人的医疗数据,特别是,医疗记录,包括显示病人历史的时间戳,使医疗信息能够作为事件序列进行陈述,有效地进行采矿过程分析,在本文件中,我们将介绍在受到最近COVID-19流行病影响的Uniklinik Aachen医院病人的医疗数据方面,以既定的采矿技术获得的一些初步结果,我们表明,进程采矿技术能够重建CU治疗COVID病人的模式。