Please use this identifier to cite or link to this item:

Title: An Integrated Soft Computing Approach to Hughes Syndrome Risk Assessment
Authors: Vilhena, João
Martins, M. Rosário
Vicente, Henrique
Grañeda, José M.
Caldeira, Filomena
Gusmão, Rodrigo
Neves, João
Neves, José
Keywords: Antiphospholipid Syndrome
Systemic Autoimmune Diseases
Artificial Neuronal Networks
Knowledge Representation and Reasoning
Logic Programming
Issue Date: 2017
Publisher: Springer
Citation: Vilhena, J., Martins, M.R., Vicente, H., Grañeda, J., Caldeira, F., Gusmão, R., Neves, J. & Neves, J., An Integrated Soft Computing Approach to Hughes Syndrome Risk Assessment. Journal of Medical Systems, 41 (3): 40, 12 pages, 2017.
Abstract: The AntiPhospholipid Syndrome (APS) is an acquired autoimmune disorder induced by high levels of antiphospholipid antibodies that cause arterial and veins thrombosis, as well as pregnancy-related complications and morbidity, as clinical manifestations. This autoimmune hypercoagulable state, usually known as Hughes syndrome, has severe consequences for the patients, being one of the main causes of thrombotic disorders and death. Therefore, it is required to be preventive; being aware of how probable is to have that kind of syndrome. Despite the updated of antiphospholipid syndrome classification, the diagnosis remains difficult to establish. Additional research on clinically relevant antibodies and standardization of their quantification are required in order to improve the antiphospholipid syndrome risk assessment. Thus, this work will focus on the development of a diagnosis decision support system in terms of a formal agenda built on a Logic Programming approach to knowledge representation and reasoning, complemented with a computational framework based on Artificial Neural Networks. The proposed model allows for improving the diagnosis, classifying properly the patients that really presented this pathology (sensitivity higher than 85%), as well as classifying the absence of APS (specificity close to 95%).
ISSN: 0148-5598 (Print)
1573-689X (Online)
Type: article
Appears in Collections:HERCULES - Publicações - Artigos em Revistas Internacionais Com Arbitragem Científica
QUI - Publicações - Artigos em Revistas Internacionais Com Arbitragem Científica

Files in This Item:

File Description SizeFormat
2017_JOMS_2017_RD.pdf824.41 kBAdobe PDFView/Open
FacebookTwitterDeliciousLinkedInDiggGoogle BookmarksMySpaceOrkut
Formato BibTex mendeley Endnote Logotipo do DeGóis 

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.


Dspace Dspace
DSpace Software, version 1.6.2 Copyright © 2002-2008 MIT and Hewlett-Packard - Feedback
UEvora B-On Curriculum DeGois