Performance Analysis and Activity Deviation Discovery in Event Log Using Process Mining Tool for Hospital System

نویسندگان

چکیده

All service and manufacturing businesses are resilient strive for a more efficient better end in today's world. Data mining is data-driven necessitates significant data to analyze the pattern train model. Assume incorrect was not collected from reliable sources, causing analysis be skewed. We introduce procedure which dataset split into test training datasets with specific ratio overcome this challenge. Process will find traces of actions streamline process aid producing result. The most responsible domain healthcare industry. In study, we used activity hospital applied algorithms such as alpha miner fuzzy miner. check conformity event log do performance analysis, accuracy exhibited. Finally, techniques show deviation flow fix flow. This study showed that there variation by employing miners hospital.

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ژورنال

عنوان ژورنال: Journal of information systems and telecommunication

سال: 2023

ISSN: ['2322-1437', '2345-2773']

DOI: https://doi.org/10.52547/jist.24214.11.42.110