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A Novel Text Data Mining Method based on Neural Network and Its Application

机译:一种基于神经网络的新型文本数据挖掘方法及其应用

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Data mining aims to excavate new knowledge from existing information. When it comes to test mining, a better way is to take the context into account In this study we present text mining procedures based on a neural network framework in order to identify indicative factors in the form of keywords within the medical record narratives. These keywords and their weight/value suggest an innovative way for justifying a CT scan request. Our purpose is to extend the reach of diagnosis beyond traditional processing of clinical data towards an efficient utilization of the narratives in medical records.
机译:数据挖掘旨在从现有信息中挖掘新知识。在测试挖掘时,更好的方法是在这项研究中考虑到了解情况,我们将基于神经网络框架的文本挖掘程序呈现文本挖掘程序,以便在医疗记录叙述中以关键词形式识别指示性因素。这些关键字及其重量/值表明了一种用于证明CT扫描请求的创新方法。我们的目的是扩展诊断范围,超越传统处理临床数据,以便在医疗记录中有效地利用叙述。

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