Authors: M. Lobe, S. Staubert, C. Goldberg, I. Haffner, A. Winter
Date Published: 5th May 2018
Publication Type: Journal article
Human Diseases: breast cancer
PubMed ID: 29726450
Citation: Stud Health Technol Inform. 2018;248:293-299.
Motivation: By using the NLP4CR tool, medical facts (e.g. diagnoses, laboratory values) can be extracted from German medical full texts.
Description: The NLP4CR tool is a prototype that demonstrates the applicability of Apache UIMA and cTakes to medical full texts in German language.
Creators: Sebastian Stäubert, Matthias Löbe, Colleen Goldberg
Submitter: Christoph Beger
Model type: Not specified
Model format: Not specified
Environment: Not specified
Organism: Not specified
Human Disease: Not specified
Investigations: No Investigations
Studies: No Studies
Resources: No Resources