AsthmaONTO :An Ontology System for Diagnosing asthma disease
AsthmaONTO :An Ontology System for Diagnosing asthma disease
DOI:
https://doi.org/10.29304/jqcm.2022.14.2.969Keywords:
Semantic Web, Ontology, Asthma disease, ProtégéAbstract
Asthma is a common chronic inflammatory disease of the airways in the lungs. According to World Health Organization Asthma is often not properly diagnosed or treated, especially in low-income and lower-middle-income countries. People with untreated asthma can experience disturbed sleep, daytime fatigue, and poor concentration. Detecting the disease at the right time can help to reduce the risk it may cause. Using Semantic Web technologies, this project aims to improve asthma disease diagnosis. We created a domain ontology (AsthmaONTO) that encompasses asthma disease domain knowledge. The ontology includes terminology, relationships, and properties that can be used in the diagnosis of asthma. To diagnose asthma disease and predict the risk of asthma, a set of rules has been developed based on valid links between ontology concepts. It also offers therapy options and recommendations. A domain expert submitted a sample set of individuals with asthma disease, which was used to evaluate the proposed system. The system correctly diagnosed 48 of the 54 cases patients with asthma (ratio of correctness is 88.8%), according to the findings.
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online: https://goldcopd.org/global-strategy-diagnosis-managementprevention-copd-2016 (accessed on 10 July 2018).
[3] Burden of COPD. Available online: www.who.int/respiratory/copd/burden (accessed on 15 July 2018).
[4] Global burden of 369 diseases and injuries in 204 countries and territories, 1990-2019: a systematic analysis for the Global Burden of Disease Study
2019. Lancet. 2020;396(10258):1204-22 –
[5] Vos T, Flaxman AD, Naghavi M, et al. Years lived with disability (YLDs) for 1160 sequelae of 289 diseases and injuries 1990–2010: a systematic
analysis for the Global Burden of Disease Study 2010. Lancet 2012; 380: 2163–2196
[6] Masoli M, Fabian D, Holt S, et al. The global burden of asthma: executive summary of the GINA Dissemination Committee report. Allergy 2004; 59:
469–478.
[7] NUNES, Carlos; PEREIRA, Ana Margarida; MORAIS-ALMEIDA, Mário. Asthma costs and social impact. Asthma research and practice, 2017, 3.1:
1-11.
[8] Global Initiative for Asthma. Global Strategy for Asthma Management and Prevention, 2018. www.ginasthma.org Date last accessed: 17 May 2018.
[9] PAPI, A., et al. Seminar Asthma. Lancet, 2018, 391: 783-800.
[10] ROSPOCHER, Marco; GHIDINI, Chiara; SERAFINI, Luciano. An Ontology for the Business Process Modelling Notation. In: FOIS. 2014. p. 133-
146.
[11] Gruber TR: A Translation Approach to Portable Ontology Specifications. Knowledge Acquisition 5:199–220, 1993
[12] DEVI, Runumi, et al. SWRL reasoning on ontology-based clinical dengue knowledge base. International Journal of Metadata, Semantics and
Ontologies, 2020, 14.1: 39-53
[13] Natalya F. Noy and Deborah L. McGuinness, “Ontology Development 101: A Guide to Creating Your First Ontology,"
http://protege.stanford.edu/publications/ontology_development/ ontology101-noy-mcguinness.html.
[14] MESSAOUDI, Rim, et al. Ontology-based approach for liver cancer diagnosis and treatment. Journal of Digital Imaging, 2019, 32.1: 116-130.
[15] Al-Hamadani, B. T., & Alwan, R. F. (2015). An Ontology-Based Expert System for General Practitioners to Diagnose Cardiovascular Diseases.
Advances in Computational Sciences and Technology, 8(1), 53-65.
[16] Rawte, V., & Roy, B. (2015). OBESTDD: Ontology Based Expert System for Thyroid Disease Diagnosis. Paper presented at the Nascent
Technologies in the Engineering Field (ICNTE), 2015 International Conference on
[17] Alharbi, R. F., Berri, J., & El-Masri, S. (2015). Ontology based clinical decision support system for diabetes diagnostic. Paper presented at the
Science and Information Conference (SAI), 2015
[18] Thirugnanam, M. (2013). An ontology-based system for predicting disease using SWRL rules. International Journal of Computer Science and
Business Informatics, 7(1).
[19] Almutair, H., & El-Masri, S. (2014, January). Model of Diagnosis Knowledge Base Ontology Framework based on Clinical Practice Guidelines. In
Proceedings of the International Conference on Bioinformatics & Computational Biology (BIOCOMP) (p. 1). The Steering Committee of The World
Congress in Computer Science, Computer Engineering and Applied Computing (WorldComp)
[22] à n Garcia-Crespo, A RodrÃguez, M Mencke, J M Gómez-BerbÃs and R Colomo-Palacios. "ODDIN: Ontology-driven differential diagnosis based
on logical inference and probabilistic refinements". Expert Systems with Applications 2010; 37: 2621-2628.
[23] M Ferndndez, A Gomez-Perez and N Juristo. "METHONTOLOGY: From Ontological Art Towards Ontological Engineering". In: Conference Name;
1997 of Conference, Conference Location
[24] G v Heijst, A T Schreiber and B J Wielinga. "Using explicit ontologies in KBS development". Int. J. Hum. -Comput. Stud. 1997; 46: 183-292.
[25] M Martínez-Romero, J Vázquez-Naya, J Pereira, M Pereira, A Pazos and G Baños3. "The iOSC3 System: Using Ontologies and SWRL Rules for
Intelligent Supervision and Care of Patients with Acute Cardiac Disorders". Computational and Mathematical Methods in Medicine 2013; 2013: 13.
[26] M Uschold and M Gruninger. "Ontologies: principles, methods and applications". The Knowledge Engineering Review 1996; 11: 93-136
[27] J Domingue, C Anutariya, S Lynn and D Embley. Semantically Conceptualizing and Annotating Tables. The Semantic Web. Springer Berlin
Heidelberg, 2008. pp. 345- 359.
[28] [14] http://clarkparsia.com/pellet/features#rules, Pellet Features. 2013.
[29] A Jovic, M Prcela and D Gamberger. "Ontologies in Medical Knowledge Representation". In: ITI 2007. 29th.
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Published
2022-07-06
How to Cite
Kadim, F. B., & Othman, Z. I. (2022). AsthmaONTO :An Ontology System for Diagnosing asthma disease: AsthmaONTO :An Ontology System for Diagnosing asthma disease. Journal of Al-Qadisiyah for Computer Science and Mathematics, 14(2), Comp Page 81–90. https://doi.org/10.29304/jqcm.2022.14.2.969
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Computer Articles
