Please use this identifier to cite or link to this item: http://hdl.handle.net/10174/13972

Title: Artificial Neural Networks in Acute Coronary Syndrome Screening
Authors: Martins, M. Rosário
Mendes, Teresa
Grañeda, José
Gusmão, Rodrigo
Vicente, Henrique
Neves, José
Editors: Ortuño, Francisco
Rojas, Ignacio
Keywords: Acute Coronary Syndrome
Healthcare
Logic Programming
Knowledge Representation and Reasoning
Artificial Neuronal Networks
Issue Date: 2015
Publisher: Springer International Publishing
Citation: Martins, M.R., Mendes, T., Grañeda, J.M., Gusmão, R., Vicente H. & Neves, J., Artificial Neural Networks in Acute Coronary Syndrome Screening. In F. Ortuño & I. Rojas, Eds., Bioinformatics and Biomedical Engineering – Part I, Lecture Notes in Computer Science, Vol. 9043, pp. 108–119, Springer International Publishing, Cham, Switzerland, 2015.
Abstract: In Acute Coronary Syndrome (ACS), early use of correct therapy plays a key role in altering the thrombotic process resulting from plaque rupture, thereby minimizing patient sequels. Indeed, current quality improvement efforts in acute cardiovascular care are focused on closing treatment gaps, so more patients receive evidence-based therapies. Beyond ensuring that effective therapies are administered, attention should also be directed at ensuring that these therapies are given both correctly and safely. Indeed, this work will focus on the development of a diagnosis support system, in terms of its knowledge representation and reasoning procedures, under a formal framework based on Logic Programming, complemented with an approach to computing centered on Artificial Neural Networks, to evaluate ACS predisposing and the respective Degree-of-Confidence that one has on such a happening.
URI: http://link.springer.com/chapter/10.1007/978-3-319-16483-0_11
http://hdl.handle.net/10174/13972
ISBN: 978-3-319-16482-3
Type: bookPart
Appears in Collections:CQE - Publicações - Capítulos de Livros
ICAAM - Publicações - Capítulos de Livros
QUI - Publicações - Capítulos de Livros

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