Please use this identifier to cite or link to this item: http://hdl.handle.net/10174/12455

Title: Thrombophilia Screening – An Artificial Neural Network Approach
Authors: Vilhena, João
Martins, M. Rosário
Vicente, Henrique
Nelas, Luís
Machado, José
Neves, José
Editors: Verdier, Christine
Bienkiewicz, Marta
Fred, Ana
Gamboa, Hugo
Elias, Dirk
Keywords: Thrombophilia Risk Evaluation
Knowledge Representation and Reasoning
Logic Programming
Artificial Neural Networks
Issue Date: 2015
Publisher: Scitepress – Science and Technology Publications
Citation: Vilhena, J., Martins, M. R., Vicente, H., Nelas, L., Machado, J., & Neves, J., Thrombophilia Screening – An Artificial Neural Network Approach. In C. Verdier, M. Bienkiewicz, A. Fred, H. Gamboa, & D. Elias Eds., Proceedings of the 8th International Conference on Health Informatics (HEALTHINF 2015), pp. 51–59, Scitepress – Science And Technology Publications, Lisbon, 2015.
Abstract: 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.
URI: http://hdl.handle.net/10174/12455
ISBN: 978-989-758-068-0
Type: article
Appears in Collections:ICAAM - Artigos em Livros de Actas/Proceedings
QUI - Artigos em Livros de Actas/Proceedings
CQE - Artigos em Livros de Actas/Proceedings

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