PHILLIP RICHTER-PECHANSKI

Phillip Richter-Pechanski

Contact

+49 6221 56-483
Email (click to copy)
Heidelberg University Hospital
Analysezentrum III
Im Neuenheimer Feld 669
D-69120 Heidelberg
Germany

About me / Research Statement:

Since October 2021, I am a Doctoral Student under the supervision of Prof. Dr. Anette Frank at the Department of Computational Linguistics at Heidelberg University. I work as a clinical NLP researcher at the Medical Clinic at the Heidelberg University Hospital. My current research interests are:

  • Clinical concept extraction
  • De-Identification
  • Corpus creation/annotation
  • Interpretability
  • Domain-adaptation of language models

CURRICULUM VITAE

Employment

2019 - today

Research Assistant in Clinical NLP

Medical Clinic, Cardiology Department, Heidelberg University Hospital

2017 - 2018

Medical Data Scientist

SAP SE, Walldorf

2014 - 2017

Student Research Assistant

Department of Computational Linguistics (ICL), Heidelberg University

PUBLICATIONS

2024
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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)

Natural Language Processing.
2023
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A distributable German clinical corpus containing cardiovascular clinical routine doctor’s letters

Richter-Pechanski, P., Wiesenbach, P., Schwab, D., Kiriakou, C., He, M., Allers, M., Tiefenbacher, A., Kunz, N., Martynova, A., Spiller, N., Mierisch, J., Borchert, F., Schwind, C., Frey, N., Dieterich, C., Geis, N. (2023)

Scientific Data.
2021
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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
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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
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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.