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

In this paper, an interpretable classifier for Parkinson's Disease (PD) diagnosis based on
analyzing the gait cycle is presented. The proposed method utilizes clinical features …

The conciliation of multiple single-disease guidelines for comorbid patients entails solving
potential clinical interactions, discovering synergies in the diagnosis and the …

Purpose The primary objective of this paper is to show a systematic and methodological
approach for the digitalization of critical clinical pathways (CPs) within the healthcare …

Big data knowledge discovery emerged as an important factor contributing to advancements
in society at large. Still, researchers continuously seek to advance existing methods and …

In recent years the management of patient flow is one of the main challenges faced by many
hospital establishments, in particular emergency departments (EDs). Increasing number of …

Treatment plan selection is a complex process because it sometimes needs sufficient
experience and clinical information. Nowadays it is even harder for doctors to select an …

Many physiotherapy treatments begin with a diagnosis process. The patient describes
symptoms, upon which the physiotherapist decides which tests to perform until a final …

Occurrence of adverse drug reactions (ADRs) is one of the major issues in the medical field.
When patients with multiple diseases are prescribed with multiple medicines, adverse drug …