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Medical data analysis and coding using natural language processing techniques in order to derive structured data information

机译:使用自然语言处理技术进行医学数据分析和编码,以获取结构化数据信息

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Medical data are, most of the times, very complex both in form and content. One of the greatest challenges for the IT community in healthcare is to enable the full utilization of these data by information systems. This explicit variety combined with the fact that data usually derives from diverse systems are great obstacles to this task. The result is that data stored in medical information systems usually do not accurately represent reality. In order to eliminate the fallacy between stored and real data, specialized applications that facilitate and accelerate data import into information systems must be developed..This is the goal of Natural Language Processing, the scientific field that combines computer science and linguistics. As a result NLP systems use applications for the coding and standardization of information, known as controlled medical vocabularies. The result of these processes is data that can be used by various technologies, such as clinical data warehouses and decision support systems, the functionality of which is fully dependable on the completeness and accuracy of the data on which their analysis is imposed.
机译:在大多数情况下,医学数据的形式和内容都非常复杂。对于医疗保健IT社区来说,最大的挑战之一就是如何使信息系统充分利用这些数据。这种明显的多样性与数据通常来自不同系统的事实相结合,对这一任务构成了极大的障碍。结果是,存储在医学信息系统中的数据通常不能准确地代表现实。为了消除存储数据和真实数据之间的谬误,必须开发促进和加速数据导入信息系统的专用应用程序。这是自然语言处理(将计算机科学和语言学结合起来的科学领域)的目标。结果,NLP系统将应用程序用于信息的编码和标准化,这被称为受控医学词汇。这些过程的结果是可以由各种技术使用的数据,例如临床数据仓库和决策支持系统,其功能完全取决于对其进行分析的数据的完整性和准确性。

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