Cue-based assertion classification for Swedish clinical text—Developing a lexicon for pyConTextSwe

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摘要

ObjectiveThe ability of a cue-based system to accurately assert whether a disorder is affirmed, negated, or uncertain is dependent, in part, on its cue lexicon. In this paper, we continue our study of porting an assertion system (pyConTextNLP) from English to Swedish (pyConTextSwe) by creating an optimized assertion lexicon for clinical Swedish.

论文关键词:Assertion classification,Clinical text mining,Dictionaries,Medical Language Processing,Information extraction,Electronic health records

论文评审过程:Available online 25 January 2014.

论文官网地址:https://doi.org/10.1016/j.artmed.2014.01.001