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Text mining for large medical text datasets and corresponding medical text classification using informative feature selection

机译:使用信息特征选择对大型医学文本数据集进行文本挖掘和相应的医学文本分类

摘要

Techniques include performing text mining on a set of case reports in text format to determine a set of grammar rules to be used to determine whether case reports meet a medical condition. The text mining includes performing feature selection, used to determine the set of grammar rules, that combines standardized case definitions with experience of medical officers for the medical condition and outputting the set of grammar rules. Another technique includes applying grammar rule(s) to new case report(s), the grammar rule(s) previously determined at least by performing text mining comprised of performing feature selection, used to determine the set of grammar rules, that combines standardized case definitions with experience of medical officers for the medical condition. Indication(s) are output of whether the new case report(s) meet or do not meet the medical condition. The techniques may be performed by a method, an apparatus, and a program product.
机译:这些技术包括以文本格式对一组病例报告执行文本挖掘,以确定一组语法规则,用于确定病例报告是否符合医疗条件。文本挖掘包括执行用于选择语法规则集的特征选择,该特征选择将标准化案例定义与医务人员针对医疗状况的经验相结合,并输出语法规则集。另一技术包括将语法规则应用于新案例报告,先前至少通过执行文本挖掘来确定语法规则,该文本挖掘包括执行特征选择,用于确定语法规则集,该特征规则组合标准化案例具有医务人员经验的定义。显示新病例报告是否满足医疗条件的指示。可以通过方法,装置和程序产品来执行该技术。

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