Please use this identifier to cite or link to this item: http://hdl.handle.net/1822/39032

TitleThrombophilia screening: An artificial neural network approach
Author(s)Vilhena, J.
Martins, M. R.
Vicente, H.
Nelas, L.
Machado, José Manuel
Neves, José
KeywordsThrombophilia Risk Evaluation
Knowledge Representation and Reasoning
Logic Programming
Artificial Neural Networks
Issue date2015
PublisherScience and Technology Publications
CitationVilhena, J., Martins, M. R., Vicente, H., Nelas, L., Machado, J., & Neves, J. (2015). Thrombophilia screening: An artificial neural network approach. Paper presented at the HEALTHINF 2015 - 8th International Conference on Health Informatics, Proceedings; Part of 8th International Joint Conference on Biomedical Engineering Systems and Technologies, BIOSTEC 2015.
Abstract(s)Thrombotic disorders have severe consequences for the patients and for the society in general, being one of the main causes of death. These facts reveal that it is extremely important to be preventive; being aware of how probable is to have that kind of syndrome. Indeed, this work will focus on the development of a decision support system that will cater for an individual risk evaluation with respect to the surge of thrombotic complaints. The Knowledge Representation and Reasoning procedures used will be based on an extension to the Logic Programming language, allowing the handling of incomplete and/or default data. The computational framework in place will be centered on Artificial Neural Networks.
TypeConference paper
URIhttp://hdl.handle.net/1822/39032
ISBN978-989-758-068-0
DOI10.5220/0005197500510059
Peer-Reviewedyes
AccessOpen access
Appears in Collections:DI/CCTC - Artigos (papers)

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