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 …

This paper focuses on the study of automated process discovery using the Inductive visual
Miner (IvM) and Directly Follows visual Miner (DFvM) algorithms to produce a valid process …

In this paper, we propose a deep learning-based approach to predict the next event in
hospital organizational process models following the guidance of predictive process mining …

Process mining is a discipline sitting between data mining and process science, whose goal
is to provide theoretical methods and software tools to analyse process execution data …

Managing constrained healthcare resources is an important and inescapable role of
healthcare decision makers. Allocative decisions are based on downstream consequences …

This research investigates the application of Large Language Models (LLMs) to augment
conversational agents in process mining, aiming to tackle its inherent complexity and …

Purpose Similar to many business processes, waiting times are also essential for health
care processes, especially in obstetrics and gynecology outpatient department (GOD) …

Process mining is a well-established discipline with applications in many industry sectors,
including healthcare. To date, few publications have considered the context in which …

Indonesia health care strategy is switching from a multi-payer health insurance to a single-
payer national health insurance [1]. As the fourth most populous country in the world …

Medical event prediction (MEP) is a fundamental task in the healthcare domain, which
needs to predict medical events, including medications, diagnosis codes, laboratory tests …