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A Domain-adapted Dependency Parser for German Clinical Text.

, , , , , and . KONVENS, page 12-17. Österreichische Akademie der Wissenschaften, (2018)

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Predicting Sequences of Clinical Events by Using a Personalized Temporal Latent Embedding Model., , , and . ICHI, page 130-139. IEEE Computer Society, (2015)A novel tool for the identification of correlations in medical data by faceted search., , , , , and . Comp. in Bio. and Med., (2017)Detecting Named Entities and Relations in German Clinical Reports., , , , , , , , and . GSCL, volume 10713 of Lecture Notes in Computer Science, page 146-154. Springer, (2017)A fine-grained corpus annotation schema of German nephrology records., , , , , , , , and . ClinicalNLP@COLING 2016, page 69-77. The COLING 2016 Organizing Committee, (2016)Quality checking and mining nephrology biopsy data., , , , , , and . BCI, page 110-113. ACM, (2013)Towards Integrated Information Extraction and Facetted Search Applications in Nephrology., , and . EMSA-RMed@ESWC, volume 1613 of CEUR Workshop Proceedings, CEUR-WS.org, (2016)First Steps towards a Frequent Pattern Mining with Nephrology Data in the Medical Domain., , , and . CS&P, volume 928 of CEUR Workshop Proceedings, page 261-268. CEUR-WS.org, (2012)Time-series analysis in the medical domain: A study of Tacrolimus administration and influence on kidney graft function., , , , , , and . Comp. in Bio. and Med., (2014)The Concept of a Mobility Data Cloud: Design, Implementation and Trials., , , , , , , and . COMPSAC Workshops, page 192-198. IEEE Computer Society, (2014)Negation Detection in Clinical Reports Written in German., , , , , and . BioTxtM@COLING 2016, page 115-124. The COLING 2016 Organizing Committee, (2016)