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Principles component analysis, fuzzy weighting pre-processing and artificial immune recognition system based diagnostic system for diagnosis of lung cancer

Published: 01 January 2008 Publication History

Abstract

Lung cancers are cancers that begin in the lungs. Other types of cancers may spread to the lungs from other organs. However, these are not lung cancers because they did not start in the lungs. It is evident that usage of machine learning methods in disease diagnosis has been increasing gradually. In this study, diagnosis of lung cancer, which is a very common and important disease, was conducted with such a machine learning system. In this study, we have detected on lung cancer using principles component analysis (PCA), fuzzy weighting pre-processing and artificial immune recognition system (AIRS). The approach system has three stages. First, dimension of lung cancer dataset that has 57 features is reduced to four features using principles component analysis. Second, a new weighting scheme based on fuzzy weighting pre-processing was utilized as a pre-processing step before the main classifier. Third, artificial immune recognition system was our used classifier. We took the lung cancer dataset used in our study from the UCI machine learning database. The obtained classification accuracy of our system was 100% and it was very promising with regard to the other classification applications in literature for this problem.

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  • (2020)RETRACTED ARTICLE: Lung cancer prediction using higher-order recurrent neural network based on glowworm swarm optimizationNeural Computing and Applications10.1007/s00521-018-3824-332:9(4373-4386)Online publication date: 1-May-2020
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  • (2020)Parameter Optimization and Weights Assessment for Evidential Artificial Immune Recognition SystemKnowledge Science, Engineering and Management10.1007/978-3-030-55393-7_3(27-38)Online publication date: 28-Aug-2020
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        Published In

        cover image Expert Systems with Applications: An International Journal
        Expert Systems with Applications: An International Journal  Volume 34, Issue 1
        January, 2008
        805 pages

        Publisher

        Pergamon Press, Inc.

        United States

        Publication History

        Published: 01 January 2008

        Author Tags

        1. AIRS
        2. Artificial immune system
        3. Fuzzy weighting pre-processing
        4. Lung cancer
        5. Medical diagnosis
        6. Principles component analysis

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        • (2020)RETRACTED ARTICLE: Lung cancer prediction using higher-order recurrent neural network based on glowworm swarm optimizationNeural Computing and Applications10.1007/s00521-018-3824-332:9(4373-4386)Online publication date: 1-May-2020
        • (2020)A new expert system in prediction of lung cancer disease based on fuzzy soft setsSoft Computing - A Fusion of Foundations, Methodologies and Applications10.1007/s00500-020-04787-x24:18(14179-14207)Online publication date: 1-Sep-2020
        • (2020)Parameter Optimization and Weights Assessment for Evidential Artificial Immune Recognition SystemKnowledge Science, Engineering and Management10.1007/978-3-030-55393-7_3(27-38)Online publication date: 28-Aug-2020
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        • (2019)Evidential Artificial Immune Recognition SystemKnowledge Science, Engineering and Management10.1007/978-3-030-29551-6_57(643-654)Online publication date: 28-Aug-2019
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