Smart Waiting Room: A Systematic Literature Review and a Proposal

D Spoladore, M Mondellini, A Mahroo… - Electronics, 2024 - mdpi.com
In the past decade, Internet of Things (IoT) technologies have become more and more
pervasive, allowing the development of Ambient Intelligence and Context Awareness …

Ontology opportunities and challenges: Discussions from semantic data integration perspectives

AO Alkhamisi, M Saleh - 2020 6th Conference on data science …, 2020 - ieeexplore.ieee.org
With the tremendous growth of digital information, big data management has become an
emerging research area in recent years. In big data, handling a variety of data is significantly …

Developing a Novel Ontology for Cybersecurity in Internet of Medical Things-Enabled Remote Patient Monitoring

KS Bughio, DM Cook, SAA Shah - Sensors, 2024 - mdpi.com
IoT has seen remarkable growth, particularly in healthcare, leading to the rise of IoMT. IoMT
integrates medical devices for real-time data analysis and transmission but faces challenges …

[HTML][HTML] A knowledge graph-based data harmonization framework for secondary data reuse

F Abad-Navarro, C Martínez-Costa - Computer Methods and Programs in …, 2024 - Elsevier
Background and objective The adoption of new technologies in clinical care systems has
propitiated the availability of a great amount of valuable data. However, this data is usually …

An ontology-based framework for a telehealthcare system to foster healthy nutrition and active lifestyle in older adults

D Spoladore, V Colombo, S Arlati, A Mahroo… - Electronics, 2021 - mdpi.com
In recent years, telehealthcare systems (TSs) have become more and more widespread, as
they can contribute to promoting the continuity of care and managing chronic conditions …

An interoperable electronic health record system for clinical cardiology

E Lazarova, S Mora, N Maggi, C Ruggiero, AC Vitale… - Informatics, 2022 - mdpi.com
Currently in hospitals, there are several separate information systems that manage, very
often autonomously, the patient's personal, clinical and diagnostic data. An electronic health …

Semantic mediation model to promote improved data sharing using representation learning in heterogeneous healthcare service environments

S Ali, I Chong - Applied Sciences, 2019 - mdpi.com
Interoperability has become a major challenge for the development of integrated healthcare
applications. This is mainly because of the reason that data is collected, processed, and …

[HTML][HTML] Use of deep learning to predict acute kidney injury after intravenous contrast media administration: prediction model development study

D Yun, S Cho, YC Kim, DK Kim, KH Oh… - JMIR Medical …, 2021 - medinform.jmir.org
Background: Precise prediction of contrast media–induced acute kidney injury (CIAKI) is an
important issue because of its relationship with poor outcomes. Objective: Herein, we …

Commoning semantic interoperability in healthcare

M Bestek, E Grönvall, J Saad-Sulonen - International Journal of the …, 2022 - JSTOR
Commons traditionally refer to shared natural resources that are at risk of being depleted or
even destroyed. The rules established by commoners offer a way to manage such scarce …

Towards development of knowledge graph for narrative information in medicine

U Varadarajan, B Dutta - Knowledge Graphs and Semantic Web: Third …, 2021 - Springer
The purpose of this work is to provide a framework for patient-doctor narration. The
framework was designed as a step-by-step approach in two phases. The initial phase was to …