DETECTION OF INCREASED LEVEL OF CHROMOSOME BREAKAGE IN PERIPHERAL BLOOD OF IRANIAN WOMEN WITH SPORADIC BREAST CANCER USING NEURAL NETWORKS
Elevation of radiosensitiviry may be a marker for breast cancer predisposition. This paper shows that the sensitivity to the induction of chromosomal damage by ionizing Gama Exposure is, on average higher in breast cancer patients than of normal healthy controls 1.In order to investigation of gamma effect in each persons lymphocytes and comparison between two groups, seventy two hours after blood sample culturing, the samples are exposed by gamma rays and they are harvested. Gamma exposure causes aberrations in chromosomes.Our database includes chromosome breakage in seven chromosome groups and age of patients. Principle Component Analysis (PCA) is used for feature selection stage. Then we used an Artificial Neural Networks (ANN) for classification of normal cases from abnormal cases. Satisfactory result obtained with an accuracy rate of 93.09％ for Neural Networks (NN) classifier.
Chromosome breakage Breast cancers Pattern recognition Artificial neural networks
SOMAYE FOOLADI HAMID KHALOOZADEH FARKHONDEH BEHJATI
K.N.Toosi University of Technology, Tehran, Iran Genetic Research Center, University of Social Welfare & Rehabilitation Sciences, Tehran, Iran
国际会议
2008 International Conference on Machine Learning and Cybernetics(2008机器学习与控制论国际会议)
昆明
英文
1227-1231
2008-07-12（万方平台首次上网日期，不代表论文的发表时间）