Towards a Simplification of Medical Documents

Farid Nakhle, S. Raheel
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Abstract

In this paper, we propose a solution to simplify reading and understanding medical documents via the automatic demystification of complex medical terms found in web pages. The suggested approach detects those terms using a combination of NLP and heuristics. It computes the probability that a word is a medical and complex term through text processing and analysis. It then makes use of an ad hoc dictionary to simplify the complex terms. Finally, it exploits the Microsoft Bing cognitive API to retrieve images and videos related to the complex medical terms detected and presents them to the users so that they may have a better understanding of the document being read.
简化医疗文件
在本文中,我们提出了一个解决方案,通过自动去神秘化在网页中发现的复杂医学术语来简化阅读和理解医学文档。建议的方法使用NLP和启发式的组合来检测这些术语。它通过文本处理和分析计算一个单词是医学和复杂术语的概率。然后,它使用一个特别的字典来简化复杂的术语。最后,它利用Microsoft Bing认知API来检索与检测到的复杂医学术语相关的图像和视频,并将其呈现给用户,以便他们更好地理解正在阅读的文档。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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