A COMPARATIVE STUDY BETWEEN ARTIFICIAL NEURAL NETWORK AND SUPPORT VECTOR MACHINE FOR ACUTE CORONARY SYNDROME PROGNOSIS

A COMPARATIVE STUDY BETWEEN ARTIFICIAL NEURAL NETWORK AND SUPPORT VECTOR MACHINE FOR ACUTE CORONARY SYNDROME PROGNOSIS

ABSTRACT Despite medical advances, mortality due to acute coronary syndrome remains high. For this reason, it is important to identify the most critical factors for predicting the risk of death in patients hospitalized with this disease. To improve medical decisions, it is also helpful to construct...

Full description

Bibliographic Details
Main Authors: Rodrigo Abrunhosa Collazo, Leonardo Antonio Monteiro Pessôa, Laura Bahiense, Basílio de Bragança Pereira, Amália Faria dos Reis, Nelson Souza e Silva
Format: Article
Language:English
Published: Sociedade Brasileira de Pesquisa Operacional
Series:Pesquisa Operacional
Subjects:
acute coronary syndrome
heart disease
variable selection
support vector machine
artificial neural network
filter
Euclidean distance
Online Access:http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0101-74382016000200321&lng=en&tlng=en

Internet

http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0101-74382016000200321&lng=en&tlng=en

Similar Items