NLP4CR - Natural Language Processing for Clinical Research
OverviewThe aim of the NLP4CR project is to test whether available NLP techniques are suitable to process medical free texts (medical letters, findings) and to support the recruitment of patients into clinical studies.
The NLP4CR project was initiated as part of Colleen Goldberg's master thesis. Medical information is not always available in a structured form, but as free text documentation. NLP techniques make it possible to analyse, annotate and extract these free texts. In this way, medical data can be made accessible for machine processing and for clinical research.
Programme: This Project is not associated with a Programme
LHA ID: 7Q0CR2P5HE-3
Public web page: http://www.imise.uni-leipzig.de/Gruppen/MIG
Human Diseases: No Human Disease specified
Health Atlas - Local Data Hub/Leipzig PALs: No PALs for this Project
Project Coordinators: No Project coordinators for this Project
Project start date: 1st Jan 2015
Related items
Abstract (Expand)
Authors: M. Lobe, S. Staubert, C. Goldberg, I. Haffner, A. Winter
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
Projects: LHA - Leipzig Health Atlas, LIFE Adult, LIFE - Leipzig Research Center for Civilization Diseases, LIFE HNC - Head and Neck Cancer Group, LIFE Heart, MMML - Molecular mechanisms in malignant lymphoma, GLA - German Lymphoma Alliance, MMML Demonstrators - Molecular Mechanisms in Malignant Lymphomas - Demonstrators of Personalized Medicine, HaematoOpt - Individualized model-based managing of the next-cycle thrombopenia of CHOEP/CHOP treated patients based on platelets dynamics during the previous cycles, e:Med, GC-HBOC - German Consortium for Hereditary Breast and Ovarian Cancer, GC-HNPCC - German Consortium for Hereditary Non-Polyposis Colorectal Cancer, MMML-MYC-SYS, NLP4CR - Natural Language Processing for Clinical Research, Genetical Statistics and Systems Biology, SepNet - German Competence Network Sepsis, LIFE Child, HNPCC-Sys - Genomic and transcriptomic heterogeneity of colorectal tumours arising in Lynch syndrome, GGN - German Glioma Network, CAPSys - Footprints of Sepsis Framed Within Community Acquired Pneumonia in the Blood Transcriptome, CapSys - Systems Medicine of Community Acquired Pneumonia, ProstataCA, HaematoSys - Systems biology of haematopoiesis and haematopoietic neoplasia, SMITH - Smart Medical Information Technology for Healthcare, Task Force COVID-19 Leipzig, NFDI4Health, POLAR - Polypharmacy, Drug Interactions, Risks, Management of health information systems, LivSys Transfer - Transfer of the LivSys in vitro system for hepatotoxicity into application, Project Test Demonstrator, Fundus photography as tool for analysis of eyes of subjects with diabetes, Clinical Trials Leipzig, NFDI4Health - TA3 Services, STOP-NUC, SCALE-TORT, EarlyAMDRate
Institutions: Institute for Medical Informatics, Statistics and Epidemiology (IMISE)
https://orcid.org/0000-0001-8344-0658
Projects: NLP4CR - Natural Language Processing for Clinical Research, Evaluation Metadata Repository, SMITH - Smart Medical Information Technology for Healthcare, FAIR4Health, 3LGM² Enterprise Architecture Modeling, Student Thesis
Institutions: Institute for Medical Informatics, Statistics and Epidemiology (IMISE)
https://orcid.org/0000-0002-2344-0426
I am a research associate at IMISE, Universität Leipzig.
