Automatic extraction of 12 cardiovascular concepts from German discharge letters using pre-trained language models: $hPhillip Richter-Pechanski, Nicolas A Geis, Christina Kiriakou, Dominic M Schwab and Christoph Dieterich

Objective A vast amount of medical data is still stored in unstructured text documents. We present an automated method of information extraction from German uns...

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Main Authors: Richter-Pechanski, Phillip (Author) , Geis, Nicolas (Author) , Kiriakou, Christina (Author) , Schwab, Dominic Mathias (Author) , Dieterich, Christoph (Author)
Format: Article (Journal)
Language:English
Published: November 26, 2021
In: Digital health
Year: 2021, Volume: 7, Pages: 1-10
ISSN:2055-2076
DOI:10.1177/20552076211057662
Online Access:Verlag, lizenzpflichtig, Volltext: https://doi.org/10.1177/20552076211057662
Verlag, lizenzpflichtig, Volltext: https://journals.sagepub.com/doi/10.1177/20552076211057662
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Summary:Objective A vast amount of medical data is still stored in unstructured text documents. We present an automated method of information extraction from German uns...
Item Description:Gesehen am 12.01.2022
Physical Description:Online Resource
ISSN:2055-2076
DOI:10.1177/20552076211057662