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首页> 外文期刊>Journal of occupational and environmental medicine >Computer algorithm for automated work group classification from free text: the DREAM technique.
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Computer algorithm for automated work group classification from free text: the DREAM technique.

机译：从自由文本自动进行工作组分类的计算机算法：DREAM技术。

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摘要

OBJECTIVE: This study developed and tested a computer method to automatically assign subjects to aggregate work groups based on their free text work descriptions. METHODS: The Double Root Extended Automated Matcher (DREAM) algorithm classifies individuals based on pairs of subjects' free text word roots in common with those of standard classification systems and several explicitly defined linkages between term roots and aggregates. RESULTS: DREAM effectively analyzed free text from 5887 participants in a multisite chronic obstructive pulmonary disease prevention study (Lung Health Study). For a test set of 533 cases, DREAMs classifications compared favorably with those of a four-human panel. The humans rated the accuracy of DREAM as good or better in 80% of the test cases. CONCLUSIONS: Automated text interpretation is a promising tool for analyzing large data sets for applications in data mining, research, and surveillance. Work descriptive information is most useful when it can link an individual to aggregate entities that have occupational health relevance. Determining the appropriate group requires considerable expertise. This article describes a new method for making such assignments using a computer algorithm to reduce dependence on the limited number of occupational health experts. In addition, computer algorithms foster consistency of assignments.
机译：目的：本研究开发并测试了一种计算机方法，该方法可根据主题的自由文本工作描述自动将主题分配给汇总的工作组。方法：双根扩展自动匹配器（DREAM）算法根据与标准分类系统相同的对象自由文本词根对以及术语根与集合之间的几个明确定义的链接对个体进行分类。结果：DREAM有效地分析了多站点慢性阻塞性肺疾病预防研究（Lung Health Study）中来自5887名参与者的自由文本。对于533个案例的测试集，DREAM的分类与四人小组的分类相比具有优势。在80％的测试案例中，人类将DREAM的准确性评为好或更高。结论：自动文本解释是用于分析大型数据集的有前途的工具，可用于数据挖掘，研究和监视。当工作描述信息可以将一个人链接到具有职业健康相关性的汇总实体时，它是最有用的。确定合适的组需要大量的专业知识。本文介绍了一种使用计算机算法进行此类任务以减少对有限数量的职业健康专家的依赖的新方法。此外，计算机算法可促进分配的一致性。

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