Process mining is a growing and promising study area focused on understanding processes
and to help capture the more significant findings during real execution rather than, those …

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 …

Diabetes intensive care unit (ICU) patients are at increased risk of complications leading to
in-hospital mortality. Assessing the likelihood of death is a challenging and time-consuming …

Process mining applies robust methodologies using data mining and machine learning for
pattern recognition, using models that represent the process flow identified by the sequence …

Abstract Background Intensive Care Unit (ICU) readmissions in patients with heart failure
(HF) result in a significant risk of death and financial burden for patients and healthcare …

In complex processes, various events can happen in different sequences. The prediction of
the next event given an a-priori process state is of importance in such processes. Recent …

The efficient management of hospital departments (HDs) has recently become an important
issue. Indeed, the increased demand and design for hospital services have saturated the …

Background A growing body of research has shown that machine learning (ML) can be a
useful tool to predict how different variable combinations affect out-of-hospital cardiac arrest …

It has been estimated that European customers visit community pharmacies to access
essential primary healthcare around 46 million times every day. Studies of dispensing error …

This paper presents an approach to model an unknown Ladder Logic based Programmable
Logic Controller (PLC) program consisting of Boolean logic and counters using Process …