Obtaining Tractable and Interpretable Descriptions for Cases with Complications from a Colorectal Cancer Database

José A. Delgado-Osuna, C. García-Martínez, S. Ventura, J. G. Barbadillo
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引用次数: 1

Abstract

Colorectal cancer affects to a significant portion of the population and is one of the leading causes of cancer-related deaths in many countries. Professionals of the Reina Sofia University Hospital have fed a database about this pathology for more than 10 years. In this work, we apply classification and association rule learning tools, including a new methodology, to obtain tractable and interpretable descriptions of those cases where complications appeared, which is one of the attributes.
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从结直肠癌数据库中获取并发症病例的可处理和可解释的描述
结直肠癌影响到很大一部分人口,是许多国家癌症相关死亡的主要原因之一。雷纳索非亚大学医院的专业人员已经为这个病理数据库提供了10多年的数据。在这项工作中,我们应用分类和关联规则学习工具,包括一种新的方法,来获得那些出现复杂性的情况的可处理和可解释的描述,这是属性之一。
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