Recent advances in the field of artificial intelligence (AI) could yield new insights into the
potential causes of multiple sclerosis (MS) and factors influencing its course as the use of AI …

Abstract Machine learning provides many powerful and effective techniques for analysing
heterogeneous electronic health records (EHR). Administrative Health Records (AHR) are a …

The declarative specification of business processes is based upon the elicitation of
behavioural rules that constrain the legal executions of the process. The carry-out of the …

Background and objective Recently, Electronic Health Records (EHR) are increasingly
being converted to Common Data Models (CDMs), a database schema designed to provide …

Drawing the strengths of data science and machine learning, process mining has recently
emerged as an effective research approach for process management and its decision …

Emergency department overcrowding is a complex problem that persists globally. Data of
visits constitute an opportunity to understand its dynamics. However, the gap between the …

Access control to patient information has become increasingly important in healthcare
systems. It is vital to enhance the security of healthcare systems to avoid data loss despite …

During the last years, a number of studies have experimented with applying process
discovery techniques with the goal of automatically modelling human routines as if they …

Over the past few years, several software companies have emerged that offer process
mining tools to assist enterprises in gaining insights into their process executions. However …

The focus of this paper is on how data quality can affect business process discovery in real
complex environments, which is a major factor determining the success in any data-driven …