An Ontology for Mapping Cerebral Death
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Brain death is one of the most serious diagnoses that can be diagnosed in a patient. The possibility to detect it before its happening is one of the possible steps for the prevention of this event. The x-rays – Computed Tomography scans, are a very important test for the detection of this diagnosis. This paper proposes the use of an ontology on the registration of x-rays made to patients. This work was performed through the data provided by the Centro Hospitalar do Porto - Hospital de Santo António. The ontology was used based on an analysis made to the data and with the use of a dictionary developed in the same analysis. Finally, we added to the ontology the types of patients with brain death that were discovered in a previous work that used the dictionary that is present in this ontology.
KeywordsOntologies X-rays Brain death Text mining Natural language processing Predictive medicine
This work has been supported by Compete: POCI-01-0145-FEDER-007043 and FCT within the Project Scope UID/CEC/00319/2013.
- 1.Silva, A., Portela, F., Santos, M.F., Machado, J., Abelha, A.: Towards of automatically detecting brain death patterns through text mining. In: IEEE Conference on Business Informatics - ISA’HEALTH@CBI’2016 - Intelligent Systems and Applications in Healthcare Workshop (2016)Google Scholar
- 4.Gómez-Pérez, A.: Some ideas and examples to evaluate ontologies. In: Artificial Intelligence for Applications, p. 299 (1994)Google Scholar
- 7.Porzel, R., Malaka, R.: A task-based approach for ontology evaluation, pp. 9–16 (2004)Google Scholar
- 8.Ehrig, M., Haase, P., Hefke, M., Stojanovic, N.: Similarity for ontologies - a comprehensive framework. In: ECIS 2005 Proceedings, p. 127 (2005)Google Scholar
- 9.Silva, A., Portela, F., Santos, M.F., Abelha, A., Machado, J.: Predicting brain deaths using text mining and X-rays clinical notes. In: Computational Science and Its Applications - MIKE 2016. Lecture Notes in Computer Science (LNCS). Springer (2016). (accepted for publication)Google Scholar
- 10.Oliveira, A., Portela, F., Machado, J., Abelha A., Neves, J.M., Vaz, S., Silva Á., Santos M.F.: Towards an ontology for health complaints management. In: KMIS 2015 - International Conference on Knowledge Management and Information Sharing, pp. 174–181 (2015)Google Scholar
- 11.MuthamilSelvan T., Balamurugan B.: Cloud based automated framework for semantic rich ontology construction and similarity computation for E-health applications. Inf. Med. Unlocked (2016). ElsevierGoogle Scholar