In the last decade, Process Mining has become a significant field to help healthcare process experts understand and gain relevant insights about the processes they execute. One of the most challenging questions in Process Mining, and particularly in healthcare, typically is: how good are the discovered models? Previous studies have suggested approaches for comparing the (few) available discovery algorithms and measure their quality. However, a general and clear comparison framework is missing, and none of the analyzed algorithms exploits Markov Chains-based Models. In this paper, we propose and discuss effective ways for assessing both quality and performance of discovered models. This is done by focusing on a case study, where the pMiner tool is used for generating Markov Chainsbased models, on a large set of real Clinical Guidelines and workflows.
|Number of pages
|Proceedings of the International Florida Artificial Intelligence Research Society Conference, FLAIRS
|Published - 8 May 2023
|36th International FLAIRS Conference: The Florida Artificial Intelligence Research Society Conference - Sheraton Sandy Key Resort, Clearwater Beach, United States
Duration: 14 May 2023 → 17 May 2023
Conference number: 36