A frequency-based technique to improve the spelling suggestion rank in medical queries
A frequency-based technique to improve the spelling suggestion rank in medical queries
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DOI：
10.1197/jamia.m1474
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发表时间：
2004-05-01
影响因子：
6.4
通讯作者：
Lacroix, EM
中科院分区：
文献类型：
--
作者：
Cowell, J;Zeng, Q;Lacroix, EM
目的：网上有大量与健康有关的信息，数以百万计的消费者搜索这些信息。拼写检查在返回相关结果方面至关重要，因此作者提出了一种技术，用于提高用于健康相关信息检索的拼写检查工具的有效性。设计：一个拼写错误的医学术语样本被提交给两个不同的拼写检查工具，得到的建议，在两个不同的字典配置下得出，的重新排序，根据如何频繁地出现在日志数据从医疗search engine.Measurements：单变量分析进行评估的影响，每个因素（拼写检查工具，字典类型，重新排序，或没有重新排序）的成功概率。在单变量分析中有统计学意义的因素，然后在多变量分析中使用，以评估每个因素的独立效果。结果：重新排序的建议被证明是显着更准确的拼写检查工具返回的原始列表。在使用作者的方法重新排序后，在第一个排名中找到正确建议的几率增加了63%。这种效果是独立的字典和拼写检查toolsofused.Conclusion：使用知识的一个给定的词的出现在医疗领域的频率可以显着提高医疗查询的拼写纠正。
Objective: There is an abundance of health-related information online, and millions of consumers search for such information. Spell checking is of crucial importance in returning pertinent results, so the authors propose a technique for increasing the effectiveness of spell-checking tools used for health-related information retrieval.Design: A sample of incorrectly spelled medical terms was submitted to two different spell-checking tools, and the resulting suggestions, derived under two different dictionary configurations, were re-sorted according to how frequently each term appeared in log data from a medical search engine.Measurements: Univariable analysis was carried out to assess the effect of each factor (spell-checking tool, dictionary type, re-sort, or no re-sort) on the probability of success. The factors that were statistically significant in the univariable analysis were then used in multivariable analysis to evaluate the independent effect of each of the factors.Results: The re-sorted suggestions proved to be significantly more accurate than the original list returned by the spell-checking tool. The odds of finding the correct suggestion in the number one rank were increased by 63% after re-sorting using the authors' method. This effect was independent of both the dictionary and the spell-checking tools that were used.Conclusion: Using knowledge about the frequency of a given word's occurrence in the medical domain can significantly improve spelling correction for medical queries.