[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 …

IoT-based health big-data process technologies: a survey

H Yoo, RC Park, K Chung - KSII Transactions on Internet and …, 2021 - koreascience.kr
Recently, the healthcare field has undergone rapid changes owing to the accumulation of
health big data and the development of machine learning. Data mining research in the field …

Exploration and visualization of learning behavior patterns from the perspective of educational process mining

G Feng, M Fan, C Ao - IEEE Access, 2022 - ieeexplore.ieee.org
The data in modern educational information systems are not given enough attention and are
not fully utilized. Therefore, the motivations of our study are to preliminarily explore learning …

[HTML][HTML] Enhancing model quality and scalability for mining business processes with invisible tasks in non-free choice

KR Sungkono, R Sarno, BS Onggo… - Journal of King Saud …, 2023 - Elsevier
At present, business processes are growing rapidly, resulting in various types of activity
relationships and big event logs. Discovering invisible tasks and invisible tasks in non-free …

Quantifying Conformance Between Object-Centric Event Logs and Models

B Xiu, G Li - IEEE Access, 2024 - ieeexplore.ieee.org
Conformance checking techniques can reveal commonalities and discrepancies between
the observed behavior and the modeled behavior, by relating and comparing events in the …

Diagnosing Conformance between Object-Centric Event Logs and Models

B Xiu, G Li - IEEE Access, 2023 - ieeexplore.ieee.org
Conformance checking techniques can diagnose discrepancies between the behavior
observed in an event log and the behavior allowed by a reference model. These …

[PDF][PDF] Computer and Information Sciences

KR Sungkono, R Sarno, BS Onggo… - Journal of King Saud …, 2023 - lbeifits.wordpress.com
abstract At present, business processes are growing rapidly, resulting in various types of
activity relationships and big event logs. Discovering invisible tasks and invisible tasks in …

Healthcare emergency room optimization using a process learning algorithm

S Oueida, Y Kotb - Proceedings of the Future Technologies Conference, 2020 - Springer
In healthcare organizations, delivering high quality service to patients with affordable cost is
usually a challenge in nature. This is where process mining comes into place to learn …

[PDF][PDF] A survey on challenging capabilities of big data analytics in healthcare

DR Krithika, K Rohini - International Journal of Innovative Research in …, 2020 - ijirase.com
The term big data analytics is a huge volume of data which is difficult to process traditional
techniques. Most of the hospitals do not maintain all necessary clinical data. Electronic …

[PDF][PDF] Visual Journey Analytics: lessons learned from real-world implementations

A Arleo, L Pufahl, J Rehse, F Zerbato, S van den Elzen… - 2024 - diglib.eg.org
Process mining and more broadly journey analytics create sequences that can be
understood with graph-oriented visual analytics. We have designed and implemented more …