2024
Clinical information extraction for Low-resource languages with Few-shot learning using Pre-trained language models and Prompting
Richter-Pechanski, P., Wiesenbach, P., Schwab, D., Kiriakou, C., Geis, N., Dieterich, C., Frank, A. (2024)
Journal of Natural Language Engineering.
2023
A distributable German clinical corpus containing cardiovascular clinical routine doctor’s letters
Richter-Pechanski, P. (2023)
Scientific Data.
2021
Automatic extraction of 12 cardiovascular concepts from German discharge letters using pre-trained language models
Richter-Pechanski, P., Geis, N., Kiriakou, C., Schwab, D., Dieterich, C. (2021)
DIGITAL HEALTH.
2019
Deep Learning Approaches Outperform Conventional Strategies in De-Identification of German Medical Reports
Richter-Pechanski, P., Amr, A., Katus, H., Dieterich, C. (2019)
Studies in Health Technology and Informatics - German Medical Data Sciences: Shaping Change – Creative Solutions for Innovative Medicine.
2018
De-Identification of German Medical Admission Notes
Richter-Pechanski, P., Riezler, S., Dieterich, C. (2018)
Studies in Health Technology and Informatics - German Medical Data Sciences: A Learning Healthcare System.
