Please use this identifier to cite or link to this item: http://hdl.handle.net/1822/52218

TitleTowards of automatically detecting brain death patterns through text mining
Author(s)Silva, Antonio
Portela, Filipe
Santos, Manuel
Machado, José Manuel
Abelha, António
KeywordsBrain Death
Text Analysis
Text Mining
X-Rays
Issue date9-Sep-2016
PublisherInstitute of Electrical and Electronics Engineers
JournalConference on Business Informatics
CitationSilva, A., Portela, F., Santos, M. F., Machado, J., & Abelha, A. (2016, August). Towards of automatically detecting brain death patterns through text mining. In Business Informatics (CBI), 2016 IEEE 18th Conference on (Vol. 2, pp. 45-52). IEEE
Abstract(s)In the area of medicine, x-rays are very useful to check if the patient suffers from brain death. Their diagnosis is made using free text. This type of record difficult the process of making qualitative analysis in order to automatically detect possible brain problems. This project aims to make qualitatively and quantitatively analysis of Brain Computed Tomography (CT) diagnosis using text analysis tools as is Natural Language Processing and Text Mining. In this work a set of related words that can means patterns in CT reports was detected. The dataset was provided by the Centro Hospitalar do Porto-Hospital de Santo António and it contains information about patient deaths and CT done to the brain. With the analysis made, a new research and analysis perspectives of structured and unstructured texts in this field was opened.
TypeConference paper
URIhttp://hdl.handle.net/1822/52218
ISBN9781509032310
DOI10.1109/CBI.2016.49
ISSN2378-1971
Publisher versionhttp://ieeexplore.ieee.org/abstract/document/7781495/
Peer-Reviewedyes
AccessRestricted access (UMinho)
Appears in Collections:CAlg - Artigos em livros de atas/Papers in proceedings

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