Analysis of Cardiac Imaging Data using Decision Tree based Parallel Genetic Programming

Created by W.Langdon from gp-bibliography.bib Revision:1.8051

@InProceedings{To:2009:ISPA,

• author = "Cuong To and Tuan D. Pham",
• title = "Analysis of Cardiac Imaging Data using Decision Tree based Parallel Genetic Programming",
• booktitle = "Proceedings of 6th International Symposium on Image and Signal Processing and Analysis, ISPA 2009",
• year = "2009",
• month = sep,
• pages = "317--320",
• keywords = "genetic algorithms, genetic programming, LogitBoost, cardiac diagnosis, cardiac imaging, decision tree, least square methods, linear discriminant analysis, linear regression, logistic regression, parallel genetic programming, single proton emission computed tomography, support vector machine, biology computing, cardiology, decision trees, least squares approximations, medical image processing, parallel programming, regression analysis, single photon emission computed tomography, support vector machines",
• URL = "http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5297730",
• ISSN = "1845-5921",
• size = "4 pages",
• abstract = "We propose an algorithm for generating diagnostic rules for cardiac diagnoses. Diagnostic rules are presented in decision tree forms that are created by genetic programming. The algorithm was tested by using cardiac single proton emission computed tomography images. In comparisons with other six well-known methods including support vector machine, LogitBoost, logistic regression, linear discriminant analysis, linear regression and least square methods; the proposed algorithm is superior. We also show that parallel genetic programming can be used to improve the performance of the proposed algorithm.",
• notes = "http://www.isispa.org/ispa09/ Also known as \cite{5297730}",

}

Genetic Programming entries for Cuong Chieu To Tuan D Pham

Citations