Authors:
João Vilhena
1
;
M. Rosário Martins
1
;
Henrique Vicente
1
;
Luís Nelas
2
;
José Machado
3
and
José Neves
3
Affiliations:
1
Universidade de Évora, Portugal
;
2
Radiconsult.com – Consultoria Informática e Radiologia Lda, Portugal
;
3
Universidade do Minho, Portugal
Keyword(s):
Thrombophilia Risk Evaluation, Knowledge Representation and Reasoning, Logic Programming, Artificial Neural Networks.
Related
Ontology
Subjects/Areas/Topics:
Artificial Intelligence
;
Biomedical Engineering
;
Business Analytics
;
Data Engineering
;
Data Mining
;
Databases and Information Systems Integration
;
Datamining
;
Decision Support Systems
;
Enterprise Information Systems
;
Health Information Systems
;
Information Systems Analysis and Specification
;
Knowledge Management
;
Ontologies and the Semantic Web
;
Sensor Networks
;
Signal Processing
;
Society, e-Business and e-Government
;
Soft Computing
;
Web Information Systems and Technologies
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.