Dudeck Joachim, Schweiger Ralf
Institute of Medical Informatics, Justus-Liebig-University Giessen, Germany.
Stud Health Technol Inform. 2003;96:272-8.
In healthcare data are to a large extent represented in narrative textual documents. The analysis of narrative text has not been solved successfully up to now. The results of natural language processing or fully indexing systems have not been completely satisfying. It is in particular difficult to detect and describe reliably relationships between data items in narrative text. The eXtensible Markup Language XML has opened new and very promising perspectives in this environment which could improve the storage, processing and analysis of narrative textual documents in particular in healthcare.
在医疗保健领域,数据在很大程度上以叙述性文本文件的形式呈现。到目前为止,叙述性文本的分析尚未得到成功解决。自然语言处理或全索引系统的结果并不完全令人满意。尤其难以可靠地检测和描述叙述性文本中数据项之间的关系。可扩展标记语言(XML)在这种环境下开辟了新的、非常有前景的前景,这尤其可以改善医疗保健领域叙述性文本文件的存储、处理和分析。