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An Evolutionary Technique for Medical Diagnostic Risk Factors Selection

机译：一种用于医学诊断危险因素选择的进化技术

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摘要

This study proposes an Artificial Neural Network (ANN) and Genetic Algorithm model for diagnostic risk factors selection in medicine. A medical disease prediction may be viewed as a pattern classification problem based on a set of clinical and laboratory parameters. Probabilistic Neural Networks (PNNs) were used to face a medical disease prediction. Genetic Algorithm (GA) was used for pruning the PNN. The implemented GA searched for optimal subset of factors that fed the PNN to minimize the number of neurons in the ANN input layer and the Mean Square Error (MSE) of the trained ANN at the testing phase. Moreover, the available data was processed with Receiver Operating Characteristic (ROC) analysis to assess the contribution of each factor to medical diagnosis prediction. The obtained results of the proposed model are in accordance with the ROC analysis, so a number of diagnostic factors in patient's record can be omitted, without any loss in clinical assessment validity.
机译：这项研究提出了一种人工神经网络（ANN）和遗传算法模型，用于诊断医学中的危险因素。可以将医学疾病预测视为基于一组临床和实验室参数的模式分类问题。概率神经网络（PNN）用于面对医学疾病的预测。遗传算法（GA）用于修剪PNN。实施的GA搜索最佳因素子集，这些因素可以为PNN带来最大的影响，从而在测试阶段将ANN输入层中神经元的数量和受训ANN的均方误差（MSE）降至最低。此外，可用接收器操作特征（ROC）分析处理了可用数据，以评估每个因素对医学诊断预测的贡献。所提出模型的结果符合ROC分析，因此可以省略患者记录中的许多诊断因素，而不会影响临床评估的有效性。

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  • 来源
  • 会议地点 Thessaloniki(GR);Thessaloniki(GR)
  • 作者

    Dimitrios Mantzaris; George Anastassopoulos; Lazaros Iliadis; Adam Adamopoulos;

  • 作者单位

    Medical Informatics Laboratory, Democritus University of Thrace, GR-68100, Alexandroupolis, Hellas;

    Medical Informatics Laboratory, Democritus University of Thrace, GR-68100, Alexandroupolis, Hellas Hellenic Open University, GR-26222, Patras, Greece;

    Hellenic Open University, GR-26222, Patras, Greece Department of Forestry Management of the Environment and Natural Resources, Democritus University of Thrace, GR-68200, Orestiada, Hellas;

    Hellenic Open University, GR-26222, Patras, Greece Medical Physics Laboratory, Democritus University of Thrace, GR-68100, Alexandroupolis, Hellas;

  • 会议组织
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 人工智能理论;
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