An Ontology for Mapping Cerebral Death

Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 571)


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.


Ontologies 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.


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Copyright information

© Springer International Publishing AG 2017

Authors and Affiliations

  1. 1.Algoritmi Research CentreUniversity of MinhoBragaPortugal

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