Thrombophilia screening: An artificial neural network approach


Autoria(s): Vilhena, J.; Martins, M. R.; Vicente, H.; Nelas, L.; Machado, José Manuel; Neves, José
Data(s)

2015

Resumo

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.

This work is funded by National Funds through the FCT – Fundação para a Ciência e a Tecnologia (Portuguese Foundation for Science and Technology) within projects PEst-OE/EEI/UI0752/2014 and PEst-OE/QUI/UI0619/2012.

Identificador

Vilhena, 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.

978-989-758-068-0

http://hdl.handle.net/1822/39032

10.5220/0005197500510059

Idioma(s)

por

Publicador

Science and Technology Publications

Relação

info:eu-repo/grantAgreement/FCT/5876/135947/PT

PEst-OE/QUI/UI0619/2012

Direitos

info:eu-repo/semantics/openAccess

Palavras-Chave #Thrombophilia Risk Evaluation #Knowledge Representation and Reasoning #Logic Programming #Artificial Neural Networks
Tipo

info:eu-repo/semantics/conferenceObject