- title = "Breast Cancer Detection using Genetic Programming",
- author = "Hong Guo and Qing Zhang and Asoke K. Nandi",
- bibdate = "2008-04-10",
- bibsource = "DBLP, http://dblp.uni-trier.de/db/conf/biostec/biosignals2008-2.html#GuoZN08",
- booktitle = "Proceedings of the First International Conference on Biomedical Electronics and Devices, BIOSIGNALS 2008",
- publisher = "INSTICC - Institute for Systems and Technologies of Information, Control and Communication",
- year = "2008",
- editor = "Pedro Encarna{\c c}{\~a}o and Ant{\'o}nio Veloso",
- pages = "334--341",
- volume = "2",
- address = "Funchal, Madeira, Portugal",
- month = jan # " 28-31",
- publisher = "SciTePress",
- organization = "INSTICC",
- keywords = "genetic algorithms, genetic programming, Feature Extraction, Classification, Breast Cancer Diagnosis",
- isbn13 = "978-989-8111-18-0",
-
URL = "
https://www.scitepress.org/Papers/2008/10592/",
-
URL = "
https://www2.lirmm.fr/lirmm/interne/BIBLI/CDROM/MIC/2008/BIOSTEC_2008/BIOSTEC%202008/Biosignals/Volume%202/Short%20Papers/C1_094_Nandi.pdf",
-
DOI = "
10.5220/0001059203340341",
- size = "8 pages",
- abstract = "Breast cancer diagnosis have been investigated by different machine learning methods. This paper proposes a new method for breast cancer diagnosis using a single feature generated by Genetic Programming(GP). GP as an evolutionary mechanism that provides a training structure to generate features. The presented approach is experimentally compared with some kernel feature extraction methods: The Kernel Principal Component Analysis (KPCA) and Kernel Generalised Discriminant Analysis (KGDA). Results demonstrate the capability of this method to transform information from high dimensional feature space into one dimensional space for breast cancer diagnosis.",
-
notes = "Also known as \cite{biosignals08}
Broken Sep 2024 http://www.biosignals.biostec.org/Abstracts/2008/BIOSIGNALS_2008_Abstracts.htm
Department of Electrical Engineering and ElectronicsThe University of Liverpool, Brownlow Hill, Liverpool, L69 3GJ, U.K.",
