Determination of Fetal State from Cardiotocogram Using LS-SVM with Particle Swarm Optimization and Binary Decision Tree

We use least squares support vector machine (LS-SVM) utilizing a binary decision tree for classification of cardiotocogram to determine the fetal state. The parameters of LS-SVM are optimized by particle swarm optimization. The robustness of the method is examined by running 10-fold cross-validation...

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Detalles Bibliográficos
Autores principales: Yılmaz, Ersen, Kılıkçıer, Çağlar
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi Publishing Corporation 2013
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3830816/
https://www.ncbi.nlm.nih.gov/pubmed/24288574
http://dx.doi.org/10.1155/2013/487179

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3830816/
https://www.ncbi.nlm.nih.gov/pubmed/24288574
http://dx.doi.org/10.1155/2013/487179

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