Process mining is the research domain focusing on the development of innovative methods
to gather insights from event logs. It has been used for various use cases within the …

Privacy and confidentiality are very important prerequisites for applying process mining to
comply with regulations and keep company secrets. This article provides a foundation for …

Process mining techniques can be used to analyse business processes using the data
logged during their execution. These techniques are leveraged in a wide range of domains …

Purpose This study explores how process managers perceive the adoption, use and
management of process mining in practice. While research in process mining predominantly …

Process Mining is a novel technology that helps enterprises to better understand their
business processes. Over the last 20 years, intensive research has been conducted into …

In order to identify the strategic topics and the thematic evolution structure of data mining
applied to healthcare, in this paper, a bibliometric performance and network analysis …

Privacy in Electronic Health Records (EHR) has become a significant concern in today's
rapidly changing world, particularly for personal and sensitive user data. The sheer volume …

Data mining (DM) and machine learning (ML) applications in medical diagnostic systems
are budding. Data privacy is essential in these systems as healthcare data are highly …

Protecting the privacy of healthcare information is an important part of encouraging data
custodians to give accurate records so that mining may proceed with confidence. The …

Reference intervals (RIs) are the cornerstone for evaluation of test results in clinical practice
and are invaluable in judging patient health and making clinical decisions. Establishing RIs …