Please use this identifier to cite or link to this item: http://hdl.handle.net/1822/31146

TitleSystematic coronary risk evaluation through artificial neural networks based systems
Author(s)Rodrigues, Bruno
Gomes, Sabino
Vicente, Henrique
Abelha, António
Novais, Paulo
Machado, José Manuel
Neves, José
KeywordsSystematic Coronary Risk Evaluation
Knowledge representation and reasoning
Logic programming
Artificial Neural Networks
Issue date2014
PublisherInternational Society of Computers and Their Applications (ISCA)
Abstract(s)On the one hand, cardiovascular diseases have severe consequences on an individual and for the society in general, once they are the main cause to death. These facts reveal that it is vital to get preventive, by knowing how probable is to have that kind of illness. On the other hand, and until now, this risk has been assessed by a Systematic Coronary Risk Evaluation procedure that takes data from charts based on gender, age, total cholesterol, systolic blood pressure and smoking status, but with no conceivable potential to deal with the incomplete or default data that is presented on those tools. Therefore, the focus in this work will be on the development of a risk evaluation support system based on a low-risk record, grounded on a new approach to knowledge representation and reasoning, that based on an extension to the Logic Programming language, will be able to overcome the drawbacks of the present ones. This will be complemented with a computational framework based on Artificial Neural Networks.
TypeConference paper
URIhttp://hdl.handle.net/1822/31146
ISBN9781880843970
Peer-Reviewedyes
AccessRestricted access (UMinho)
Appears in Collections:CCTC - Artigos em atas de conferências internacionais (texto completo)

Files in This Item:
File Description SizeFormat 
20140910_Rodrigues_Bruno_CAINE_2014.pdf
  Restricted access
14,67 MBAdobe PDFView/Open    Request a copy!

Partilhe no FacebookPartilhe no TwitterPartilhe no DeliciousPartilhe no LinkedInPartilhe no DiggAdicionar ao Google BookmarksPartilhe no MySpacePartilhe no Orkut
Exporte no formato BibTex mendeley Exporte no formato Endnote Adicione ao seu ORCID