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首页> 外文期刊>Journal of Medical Systems >Usage of Case-Based Reasoning, Neural Network and Adaptive Neuro-Fuzzy Inference System Classification Techniques in Breast Cancer Dataset Classification Diagnosis
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Usage of Case-Based Reasoning, Neural Network and Adaptive Neuro-Fuzzy Inference System Classification Techniques in Breast Cancer Dataset Classification Diagnosis

机译：基于案例的推理，神经网络和自适应神经模糊推理系统分类技术在乳腺癌数据集分类诊断中的应用

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摘要

Breast cancer is a common to females worldwide. Today, technological advancements in cancer treatment innovations have increased the survival rates. Many theoretical and experimental studies have shown that a multiple classifier system is an effective technique for reducing prediction errors. This study compared the particle swarm optimizer (PSO) based artificial neural network (ANN), the adaptive neuro-fuzzy inference system (ANFIS), and a case-based reasoning (CBR) classifier with a logistic regression model and decision tree model. It also applied three classification techniques to the Mammographic Mass Data Set, and measured its improvements in accuracy and classification errors. The experimental results showed that, the best CBR-based classification accuracy is 83.60%, and the classification accuracies of the PSO-based ANN classifier and ANFIS are 91.10% and 92.80%, respectively.
机译：乳腺癌是全世界女性的共同病。如今，癌症治疗创新中的技术进步已提高了生存率。许多理论和实验研究表明，多分类器系统是减少预测误差的有效技术。该研究将基于粒子群优化器（PSO）的人工神经网络（ANN），自适应神经模糊推理系统（ANFIS）和基于案例的推理（CBR）分类器与逻辑回归模型和决策树模型进行了比较。它还将三种分类技术应用于乳房X线摄影质量数据集，并测量了其在准确性和分类错误方面的改进。实验结果表明，基于CBR的最佳分类精度为83.60％，基于PSO的ANN分类器和ANFIS的分类精度分别为91.10％和92.80％。

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  • 来源
    《Journal of Medical Systems》 |2012年第2期|p.407-414|共8页
  • 作者

    Mei-Ling Huang; Yung-Hsiang Hung; Wen-Ming Lee; R. K. Li; Tzu-Hao Wang;

  • 作者单位

    Department of Industrial Engineering and Management, National Chin-Yi University of Technology, 35, Lane 215, Section 1, Chungshan Road, Taiping, Taichung, 411, Taiwan, Republic of China;

    Department of Industrial Engineering and Management, National Chin-Yi University of Technology, 35, Lane 215, Section 1, Chungshan Road, Taiping, Taichung, 411, Taiwan, Republic of China;

    Department of Industrial Engineering &amp Management, National Chiao Tung University, 1001 Ta Hsueh Road, Hsinchu, Taiwan, 300, Republic of China;

    Department of Industrial Engineering &amp Management, National Chiao Tung University, 1001 Ta Hsueh Road, Hsinchu, Taiwan, 300, Republic of China;

    Department of Industrial Engineering and Management, National Chin-Yi University of Technology, 35, Lane 215, Section 1, Chungshan Road, Taiping, Taichung, 411, Taiwan, Republic of China;

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  • 原文格式 PDF
  • 正文语种 eng
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  • 关键词

    Case-based reasoning; Particle swarm optimizer; ANFIS; Breast cancer;

    机译：基于案例的推理;粒子群优化;ANFIS;乳腺癌;

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