Multiclass Lung Cancer Diagnosis by Gene Expression Programming and Microarray Datasets

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@InProceedings{conf/adma/AzzawiHAXAA17,

• author = "Hasseeb Azzawi and Jingyu Hou and Russul Alanni and Yong Xiang2 and Rana Abdu-Aljabar and Ali Azzawi",
• title = "Multiclass Lung Cancer Diagnosis by Gene Expression Programming and Microarray Datasets",
• booktitle = "13th International Conference on Advanced Data Mining and Applications, ADMA 2017",
• year = "2017",
• editor = "Gao Cong and Wen-Chih Peng and Wei Emma Zhang and Chengliang Li and Aixin Sun",
• volume = "10604",
• series = "Lecture Notes in Computer Science",
• pages = "541--553",
• address = "Singapore",
• month = nov # " 5-6",
• publisher = "Springer",
• keywords = "genetic algorithms, genetic programming, gene expression programming",
• isbn13 = "978-3-319-69178-7",
• bibdate = "2017-11-03",
• bibsource = "DBLP, http://dblp.uni-trier.de/db/conf/adma/adma2017.html#AzzawiHAXAA17",
• DOI = "10.1007/978-3-319-69179-4_38",
• abstract = "There are various types of lung cancer and they can be differentiated by the cell size as well as the growth pattern. They are all treated differently. Classification of the various types of lung cancer assists in determining the specified treatments to decrease the fatality rates. In this paper, we broaden the analysis of lung by using gene expression data, binary decomposition strategies and Gene Expression Programming (GEP) technique, aiming at achieving better classification performance. Classification performance was assessed and compared between our GEP models and three representative machine learning techniques, SVM, NNW and C4.5 on real microarray Lung tumor datasets. Dependability was evaluated by the cross-informational collection validation. The evaluation results demonstrate that our technique can achieve better classification performance in terms of Accuracy, standard deviation and range under the recipient working trademark bend. The proposed technique in this paper provides a helpful tool for Lung cancer classification.",

}

Genetic Programming entries for Hasseeb Azzawi Jingyu Hou Russul Alanni Yong Xiang2 Rana Dhiaa Abdu-aljabar Ali Azzawi

Citations