Home // GLOBAL HEALTH 2017, The Sixth International Conference on Global Health Challenges // View article

Implementing Thyroid Ontology for Diagnosis and Care

Authors:
Özgü Can
Emine Sezer
Murat Osman Ünalır
Okan Bursa
Mine Öz
Tuğçe Dülge

Keywords: Thyroid Ontology; Healthcare Systems; Information Systems; Semantic Web; Ontology Development.

Abstract:
Healthcare systems are changing their information systems with the increased advances in information technologies. With these improvements, patients expectations are also increased. Consequently, patients expect a quick diagnosis process and improvement in the treatment process. Additionally, it is important to share and reuse patients’ information between different healthcare organizations and healthcare workers. There are lots of data standards and ontologies developed in the health domain. In this work, we propose a thyroid ontology for the diagnosis and care of the thyroid-related diseases. The proposed thyroid ontology will be a part of the Semantic Web based health information system in order to provide interoperability and reuse of health data. The proposed thyroid ontology can be used for treatment suggestion systems. Therefore, the healthcare decision support system will be improved.

Pages: 49 to 53

Copyright: Copyright (c) IARIA, 2017

Publication date: November 12, 2017

Published in: conference

ISSN: 2308-4553

ISBN: 978-1-61208-604-0

Location: Barcelona, Spain

Dates: from November 12, 2017 to November 16, 2017