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首页> 外文会议>International Symposium on Biological and Medical Data Analysis(ISBMDA 2004); 20041118-19; Barcelona(ES) >A Performance Comparative Analysis Between Rule-Induction Algorithms and Clustering-Based Constructive Rule-Induction Algorithms. Application to Rheumatoid Arthritis
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A Performance Comparative Analysis Between Rule-Induction Algorithms and Clustering-Based Constructive Rule-Induction Algorithms. Application to Rheumatoid Arthritis

机译：规则归纳算法与基于聚类的构造性规则归纳算法之间的性能比较分析。在类风湿关节炎中的应用

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摘要

We present a performance comparative analysis between traditional rule-induction algorithms and clustering-based constructive rule-induction algorithms. The main idea behind these methods is to find dependency relations among primitive variables and use them to generate new features. These dependencies, corresponding to regions in the space, can be represented as clusters of examples. Unsupervised clustering methods are proposed for searching for these dependencies. As a benchmark, a database of rheumatoid arthritis (RA) patients has been used. A set of clinical prediction rules for prognosis in RA was obtained by applying the most successful methods, selected according to the study outcomes. We suggest that it is possible to relate predictive features and long-term outcomes in RA.
机译：我们提出了传统规则归纳算法与基于聚类的构造性规则归纳算法之间的性能比较分析。这些方法背后的主要思想是找到原始变量之间的依赖关系，并使用它们来生成新特征。这些依赖关系，对应于空间中的区域，可以表示为示例集群。提出了无监督的聚类方法来搜索这些依赖性。作为基准，使用了类风湿关节炎（RA）患者的数据库。通过应用最成功的方法（根据研究结果选择），获得了一组RA预后的临床预测规则。我们建议将RA的预测特征与长期预后相关联是可能的。

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