Event Abstraction in Medical Context Using Self Organizing Maps (CSCI-RTHI)

With the digital transformation in medicine, enormous amounts of data are being generated and are available for analysis. Process mining techniques can be utilized to extract process models from this data. On the one side these process models typically provide detailed, fine-granular activitiy descriptions. But on the other hand these models become increasingly less recognizable. Therefore, in this contribution we explore the use of Self Organizing Maps for an event abstraction in the medical context. Our approach achieved promising results on a publicly available sepsis data set.