A data-driven process recommender framework

S Yang, X Dong, L Sun, Y Zhou, RA Farneth… - Proceedings of the 23rd …, 2017 - dl.acm.org
We present an approach for improving the performance of complex knowledge-based
processes by providing data-driven step-by-step recommendations. Our framework uses the …

Medical workflow modeling using alignment-guided state-splitting HMM

S Yang, M Zhou, S Chen, X Dong… - 2017 IEEE …, 2017 - ieeexplore.ieee.org
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 …

Process-oriented iterative multiple alignment for medical process mining

S Chen, S Yang, M Zhou, R Burd… - 2017 IEEE international …, 2017 - ieeexplore.ieee.org
Adapted from biological sequence alignment, trace alignment is a process mining technique
used to visualize and analyze workflow data. Any analysis done with this method, however …

Evaluation of trace alignment quality and its application in medical process mining

M Zhou, S Yang, X Li, S Lv, S Chen… - 2017 IEEE …, 2017 - ieeexplore.ieee.org
Trace alignment algorithms have been used in process mining for discovering the
consensus treatment procedures and process deviations. Different alignment algorithms …

[HTML][HTML] Process mining for trauma resuscitation

S Yang, J Li, X Tang, S Chen, I Marsic… - The IEEE intelligent …, 2017 - ncbi.nlm.nih.gov
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 …