A fine-grained corpus annotation schema of German nephrology records

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.

BIG-bench Machine Learning Named Entity Recognition (NER)

Predicting Clinical Events by Combining Static and Dynamic Information Using Recurrent Neural Networks

no code implementations • 8 Feb 2016 • Cristóbal Esteban, Oliver Staeck, Yinchong Yang, Volker Tresp

In this work we present an approach based on RNNs, specifically designed for the clinical domain, that combines static and dynamic information in order to predict future events.