Large amount of data is collected in event logs from information systems, reflecting the actual execution of business processes. Due to the highly competitive pressure in the …
Process mining techniques have been used to discover and analyze workflows in various fields, ranging from business management to healthcare. Much of this research, however …
S Yang, F Tao, J Li, D Wang, S Chen… - 2018 IEEE …, 2018 - ieeexplore.ieee.org
In this study, we present a framework for analyzing associations between patient cohorts and the trauma resuscitation procedures their patients received. Our framework works by …
We present our process mining system for analyzing the trauma resuscitation process to improve medical team performance and patient outcomes. Our system has four main parts …
Sense-making with respect to actor-based systems is challenging because of the non- determinism arising from concurrent behaviour. One strategy is to produce a trace of event …
This chapter on Medical Workflow Modeling with Alignment-Guided State-Splitting HMM is based on our paper [4][5]. Process mining techniques have been used to discover and …
Most enterprises and organizations have digitized their work by implementing process- aware information systems. These systems typically record a large amount of event data …
Process mining is a discipline of data science that provides comprehensive tools to obtain meaningful fact-based insights and thereby act as a means to improve the process. The …