Text Mining Models to Predict Brain Deaths Using X-Rays Clinical Notes

  • António Silva
  • Filipe PortelaEmail author
  • Manuel Filipe Santos
  • José Machado
  • António Abelha
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 10089)


The prediction of events is a task associated to the Data Science area. In the health, this method is extremely useful to predict critical events that may occur in people, or in a specific area. The Text Mining is a technique that consists in retrieving information from text files. In the Medical Field, the Data Mining and Text Mining solutions can help to prevent the occurrence of certain events to a patient. This project involves the use of Text Mining to predict the Brain Death by using the X-Ray clinical notes. This project is creating reliable predictive models with non-structured text. This project was developed using real data provided by Centro Hospitalar do Porto. The results achieved are very good reaching a sensitivity of 98% and a specificity of 88%.


X-Rays Brain death Text Mining Predictive medicine 



This work has been supported by Compete: POCI-01-0145-FEDER-007043 and FCT - Fundação para a Ciência e Tecnologia within the Project Scope UID/CEC/00319/2013.


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Copyright information

© Springer International Publishing AG 2017

Authors and Affiliations

  • António Silva
    • 1
  • Filipe Portela
    • 1
    Email author
  • Manuel Filipe Santos
    • 1
  • José Machado
    • 1
  • António Abelha
    • 1
  1. 1.Algoritmi Research CentreGuimarãesPortugal

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