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Publikation

Negation Detection in Clinical Reports Written in German

Viviana Cotik; Roland Roller; Feiyu Xu; Hans Uszkoreit; Klemens Budde; Danilo Schmidt
In: Proceedings of the Fifth Workshop on Building and Evaluating Resources for Biomedical Text Mining (BioTxtM2016). Workshop on Building and Evaluating Resources for Biomedical Text Mining (BioTxtM-2016), located at COLING 2016, December 12, Osaka, Japan, The COLING 2016 Organizing Committee, 2016.

Zusammenfassung

An important subtask in clinical text mining tries to identify whether a clinical finding is expressed as present, absent or unsure in a text. This work presents a system for detecting mentions of clinical findings that are negated or just speculated. The system has been applied to two different types of German clinical texts: clinical notes and discharge summaries. Our approach is built on top of NegEx, a well known algorithm for identifying non-factive mentions of medical findings. In this work, we adjust a previous adaptation of NegEx to German and evaluate the system on our data to detect negation and speculation. The results are compared to a baseline algorithm and are analyzed for both types of clinical documents. Our system achieves an F1-Score above 0.9 on both types of reports.

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