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Text Mining Applied to Electronic Medical Records: A Literature Review

机译:文本挖掘在电子病历中的应用:文献综述

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摘要

The analysis of medical records is a major challenge, considering they are generally presented in plain text, have a very specific technical vocabulary and are nearly always unstructured. It is an interdisciplinary work that requires knowledge from several fields. The analysis may have several goals, such as assistance on clinical decision, classification of medical procedures, and to support hospital management decisions. This work presents the concepts involved, the relevant existent related work, and the main open issues for future research within the analysis of electronic medical records, using data and text mining techniques. It provides a comprehensive contextualization to all those who wish to perform an analytical work of medical records, enabling the identification of fruitful research fields. With the digitalization of medical records and the large amount of medical data available, this is an area of wide research potential.
机译:考虑到病历通常以纯文本形式呈现,具有非常特定的技术词汇并且几乎总是非结构化的,因此对病历的分析是一个重大挑战。这是一项跨学科的工作,需要来自多个领域的知识。该分析可能具有多个目标,例如协助临床决策,对医疗程序进行分类以及支持医院管理决策。这项工作提出了涉及的概念,相关的现有相关工作以及使用数据和文本挖掘技术在电子病历分析中未来研究的主要开放性问题。它为所有希望进行病历分析工作的人员提供了全面的背景信息,从而确定了富有成果的研究领域。随着病历数字化和大量可用的医学数据,这是一个具有广泛研究潜力的领域。

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