no code implementations • 8 Jul 2022 • Roland Roller, Laura Seiffe, Ammer Ayach, Sebastian Möller, Oliver Marten, Michael Mikhailov, Christoph Alt, Danilo Schmidt, Fabian Halleck, Marcel Naik, Wiebke Duettmann, Klemens Budde
However, in the context of clinical text processing the number of accessible datasets is scarce -- and so is the number of existing tools.
no code implementations • WS 2016 • Rol Roller, , Hans Uszkoreit, Feiyu Xu, Laura Seiffe, Michael Mikhailov, Oliver Staeck, Klemens Budde, Fabian Halleck, Danilo Schmidt
In this work we present a fine-grained annotation schema to detect named entities in German clinical data of chronically ill patients with kidney diseases.
no code implementations • WS 2016 • Viviana Cotik, Rol Roller, , Feiyu Xu, Hans Uszkoreit, Klemens Budde, Danilo Schmidt
This work presents a system for detecting mentions of clinical findings that are negated or just speculated.
no code implementations • 17 Nov 2013 • Volker Tresp, Sonja Zillner, Maria J. Costa, Yi Huang, Alexander Cavallaro, Peter A. Fasching, Andre Reis, Martin Sedlmayr, Thomas Ganslandt, Klemens Budde, Carl Hinrichs, Danilo Schmidt, Philipp Daumke, Daniel Sonntag, Thomas Wittenberg, Patricia G. Oppelt, Denis Krompass
We argue that a science of a Clinical Data Intelligence is sensible in the context of a Big Data analysis, i. e., with data from many patients and with complete patient information.