Richter-Pechanski P - Search Results

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Automatic extraction of 12 cardiovascular concepts from German discharge letters using pre-trained language models.

Richter-Pechanski P, Geis NA, Kiriakou C, Schwab DM, Dieterich C. Richter-Pechanski P, et al. Digit Health. 2021 Nov 26;7:20552076211057662. doi: 10.1177/20552076211057662. eCollection 2021 Jan-Dec. Digit Health. 2021. PMID: 34868618 Free PMC article.

De-Identification of German Medical Admission Notes.

Richter-Pechanski P, Riezler S, Dieterich C. Richter-Pechanski P, et al. Stud Health Technol Inform. 2018;253:165-169. Stud Health Technol Inform. 2018. PMID: 30147065

Deep Learning Approaches Outperform Conventional Strategies in De-Identification of German Medical Reports.

Richter-Pechanski P, Amr A, Katus HA, Dieterich C. Richter-Pechanski P, et al. Stud Health Technol Inform. 2019 Sep 3;267:101-109. doi: 10.3233/SHTI190813. Stud Health Technol Inform. 2019. PMID: 31483261

Preliminary Analysis of Structured Reporting in the HiGHmed Use Case Cardiology: Challenges and Measures.

Kindermann A, Tute E, Benda S, Löpprich M, Richter-Pechanski P, Dieterich C. Kindermann A, et al. Among authors: richter pechanski p. Stud Health Technol Inform. 2021 May 24;278:187-194. doi: 10.3233/SHTI210068. Stud Health Technol Inform. 2021. PMID: 34042893

A distributable German clinical corpus containing cardiovascular clinical routine doctor's letters.

Richter-Pechanski P, Wiesenbach P, Schwab DM, Kiriakou C, He M, Allers MM, Tiefenbacher AS, Kunz N, Martynova A, Spiller N, Mierisch J, Borchert F, Schwind C, Frey N, Dieterich C, Geis NA. Richter-Pechanski P, et al. Sci Data. 2023 Apr 14;10(1):207. doi: 10.1038/s41597-023-02128-9. Sci Data. 2023. PMID: 37059736 Free PMC article.

Few-Shot and Prompt Training for Text Classification in German Doctor's Letters.

Richter-Pechanski P, Wiesenbach P, Schwab DM, Kiriakou C, He M, Geis NA, Frank A, Dieterich C. Richter-Pechanski P, et al. Stud Health Technol Inform. 2023 May 18;302:819-820. doi: 10.3233/SHTI230275. Stud Health Technol Inform. 2023. PMID: 37203504

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