手术刀:用于数据筛选的计算机辅助有限语言的原型

ACM '71 Pub Date : 1900-01-01 DOI:10.1145/800184.810532
HaroldT. Kay, C. Mundt, Barbara S. Van Yserloo, A. Rimm
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引用次数: 2

摘要

至今还没有人能够设计出一种计算机化的方法来使用自然语言分析大型数据文件。因此,科学家和医生只能使用记录表格和问卷来收集信息。在需要计算机辅助的大型研究中,研究人员可能会失去与自己的数据直接交流的机会。很多时候,他被迫与计算机程序员/分析师进行沟通,然后由后者对他的数据进行操作。我们认为,基于问卷形式的有限语言是一种极好的方法,可以让研究人员查询自己的计算机化数据。我们为非计算机医学科学家创建了SCALPEL作为多种统计查询的原型语言系统;特别是流行病学家。用于证明这种有限语言的数据来自一项针对肥胖者的全国性研究。
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SCALPEL: Prototype for a computer assisted finite language for data screening
No one has yet been able to devise a computerized method for using a natural language to analyze large data files. As a result scientists and physicians have been limited to using record forms and questionnaires for their information collection. On large studies where computer assistance is required the researcher may lose the opportunity to communicate directly with his own data. Many times he is forced to communicate with a computer programmer/analyst, who then operates on his data. We feel that a finite language based on a questionnaire format is an excellent means of allowing the researcher to interrogate his own computerized data. We have created SCALPEL as a prototype language system for multiple statistical inquiries for the non-computer oriented medical scientist; particularily the epidemiologist. The data used to demonstrate this finite language is from a national study of obese persons.
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