[HTML][HTML] Process mining in healthcare–An updated perspective on the state of the art

E De Roock, N Martin - Journal of biomedical informatics, 2022 - Elsevier
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 …

Process mining applications in the healthcare domain: A comprehensive review

A Guzzo, A Rullo, E Vocaturo - Wiley Interdisciplinary Reviews …, 2022 - Wiley Online Library
Process mining (PM) is a well‐known research area that includes techniques,
methodologies, and tools for analyzing processes in a variety of application domains. In the …

Process mining for healthcare: Characteristics and challenges

J Munoz-Gama, N Martin, C Fernandez-Llatas… - Journal of Biomedical …, 2022 - Elsevier
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 …

[Retracted] Library Management System Based on Data Mining and Clustering Algorithm

L Pang - Wireless Communications and Mobile Computing, 2022 - Wiley Online Library
In order to solve the problem of building system services between readers and libraries, this
paper proposes a library management system based on data mining and clustering …

Automatic and explainable labeling of medical event logs with autoencoding

H De Oliveira, V Augusto, B Jouaneton… - IEEE Journal of …, 2020 - ieeexplore.ieee.org
Process mining is a suitable method for knowledge extraction from patient pathways.
Structured in event logs, medical events are complex, often described using various medical …

Process mining approach to performance analysis and bottleneck finding in electronic processes (case study: the billing process of hospital services)

F Mohammadi, S Kazempourian… - International Journal of …, 2023 - inderscienceonline.com
Today, organisations are getting bigger and bigger. This creates a huge amount of event
data. Using process-aware information systems such as enterprise resource planning, it is …

[HTML][HTML] Computer-Supported Collaborative Design of Standardized Clinical Cases: Algorithm Development and Validation

S Guinez-Molinos, F Buendía-García… - JMIR medical …, 2023 - medinform.jmir.org
Background: The creation of computer-supported collaborative clinical cases is an area of
educational research that has been widely studied. However, the reuse of cases and their …

Leveraging Machine Learning for Enhanced Cyber Attack Detection and Defence in Big Data Management and Process Mining.

TN Gongada, A Agnihotri, K Santosh… - International …, 2024 - search.ebscohost.com
The rapidly developing field of" Commercial Operation Divergence Analysis," this research
seeks to identify and understand differences in commercial systems that exceed expected …

dfgcompare: a library to support process variant analysis through Markov models

A Jalali, P Johannesson, E Perjons, Y Askfors… - BMC Medical Informatics …, 2021 - Springer
Background Data-driven process analysis is an important area that relies on software
support. Process variant analysis is a sort of analysis technique in which analysts compare …

Contributions to Context-Aware Smart Healthcare: A Security and Privacy Perspective

E Batista - arXiv preprint arXiv:2206.14567, 2022 - arxiv.org
The management of health data, from their gathering to their analysis, arises a number of
challenging issues due to their highly confidential nature. In particular, this dissertation …