I am a research associate at IMISE, Universität Leipzig.
LHA ID: 7WDQPT9398-7
Location:
Germany
ORCID:
https://orcid.org/0000-0002-7221-7415
Joined: 29th Jul 2020
Related items
- Projects (2)
- Institutions (1)
- Investigations (1)
- Publications (30)
- Models (1)
- Documents (2)
- Programmes (1)
Programme: MII - Medical Informatics Initiative
Public web page: https://www.smith.care/
Start date: 1st Jan 2018
Organisms: Homo sapiens
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
Public web page: http://www.imise.uni-leipzig.de/Gruppen/MIG
Start date: 1st Jan 2015
Organisms: Not specified
Ressource related to the information architecture subsuming the central FAIR4Health Platform and the local FAIR4Health agents.
Submitter: Matthias Löbe
Studies: 3LGM² model for FAIR4Health
Resources: 3LGM² local model DIC Leipzig, 3LGM² model survey, 3LGM² reference model, Diagram inter-level relationships
Snapshots: No snapshots
Abstract (Expand)
Authors: A. Uciteli, C. Beger, J. Wagner, A. Kiel, F. A. Meineke, S. Staubert, M. Lobe, R. Hansel, J. Schuster, T. Kirsten, H. Herre
Date Published: 24th May 2021
Publication Type: Journal article
PubMed ID: 34042877
Citation: Stud Health Technol Inform. 2021 May 24;278:66-74. doi: 10.3233/SHTI210052.
Abstract (Expand)
Authors: A. Uciteli, C. Beger, J. Wagner, T. Kirsten, F. A. Meineke, S. Staubert, M. Lobe, H. Herre
Date Published: 26th Apr 2021
Publication Type: Journal article
DOI: 10.3205/mibe000219
Citation: Uciteli A, Beger C, Wagner J, Kirsten T, Meineke FA, Staubert S, Lobe M, Herre H: Ontological modelling and FHIR Search based representation of basic eligibility criteria. GMS Med Inform Biom Epidemiol 2021;17(2):Doc05.
Abstract (Expand)
Authors: M. Lobe, F. Matthies, S. Staubert, F. A. Meineke, A. Winter
Date Published: 16th Jun 2020
Publication Type: Journal article
PubMed ID: 32570413
Citation: Stud Health Technol Inform. 2020 Jun 16;270:392-396. doi: 10.3233/SHTI200189.
Abstract (Expand)
Authors: R. Bild, M. Bialke, K. Buckow, T. Ganslandt, K. Ihrig, R. Jahns, A. Merzweiler, S. Roschka, B. Schreiweis, S. Staubert, S. Zenker, F. Prasser
Date Published: 5th Jun 2020
Publication Type: Journal article
PubMed ID: 32503529
Citation: BMC Med Inform Decis Mak. 2020 Jun 5;20(1):103. doi: 10.1186/s12911-020-01138-6.
Abstract (Expand)
Authors: F. A. Meineke, Sebastian Stäubert, Matthias Löbe, C. Beger, René Hänsel, A. Uciteli, H. Binder, T. Kirsten, M. Scholz, H. Herre, C. Engel, Markus Löffler
Date Published: 19th Sep 2019
Publication Type: Misc
Citation:
Abstract (Expand)
Authors: F. A. Meineke, S. Staubert, M. Lobe, A. Uciteli, M. Loffler
Date Published: 3rd Sep 2019
Publication Type: Journal article
PubMed ID: 31483269
Citation: Stud Health Technol Inform. 2019 Sep 3;267:164-172. doi: 10.3233/SHTI190821.
Abstract (Expand)
Authors: M. Lobe, O. Beyan, S. Staubert, F. Meineke, D. Ammon, A. Winter, S. Decker, M. Loffler, T. Kirsten
Date Published: 21st Aug 2019
Publication Type: Journal article
PubMed ID: 31438215
Citation: Stud Health Technol Inform. 2019 Aug 21;264:1528-1529. doi: 10.3233/SHTI190518.
Abstract (Expand)
Authors: K. Tahar, C. Muller, A. Durschmid, S. Haferkamp, K. Saleh, P. Jurs, S. Staubert, J. E. Gewehr, S. Zenker, D. Ammon, T. Wendt
Date Published: 21st Aug 2019
Publication Type: Journal article
PubMed ID: 31438343
Citation: Stud Health Technol Inform. 2019 Aug 21;264:1785-1786. doi: 10.3233/SHTI190647.
Abstract (Expand)
Authors: Silke Zachariae, Sebastian Stäubert, C. Fischer, Markus Löffler, Christoph Engel
Date Published: 8th Mar 2019
Publication Type: InProceedings
Human Diseases: hereditary breast ovarian cancer syndrome, Lynch syndrome, colorectal cancer
Citation:
Abstract
Authors: Matthias Löbe, O. Beyan, Sebastian Stäubert, Frank A. Meineke, D. Ammon, Alfred Winter, S. Deckert, Markus Löffler, Toralf Kirsten
Date Published: 2019
Publication Type: InProceedings
DOI: 10.18653/v1/W19-4025
Citation:
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
The need to manage research data is recognised by the research community - sponsors, legislators, publishers expect and encourage good scientific practice, which not only includes archiving, but also the availability of research data and results in line with FAIR principles. The publication gives a brief overview of the Leipzig Health Atlas (LHA), which is a project for the presentation and exchange of a wide range of publications, (bio) medical data (e.g. clinical, epidemiological, molecular), ...
Creators: René Hänsel, Matthias Löbe, Sebastian Stäubert, Christoph Beger
Submitter: Christoph Beger
Investigations: No Investigations
Studies: No Studies
Resources: No Resources
The need to manage research data is recognised by the research community - sponsors, legislators, publishers expect and encourage good scientific practice, which not only includes archiving, but also the availability of research data and results in line with FAIR principles. The publication gives a brief overview of the Leipzig Health Atlas (LHA), which is a project for the presentation and exchange of a wide range of publications, (bio) medical data (e.g. clinical, epidemiological, molecular), ...
Creators: René Hänsel, Matthias Löbe, Sebastian Stäubert, Christoph Beger
Submitter: Christoph Beger
Investigations: No Investigations
Studies: No Studies
Resources: No Resources
The medical informatics initiative was created to close the gap between research and healthcare. All of Germany’s university hospitals have joined forces with research institutions, businesses, health insurers, and patient advocacy groups to create a framework that harnesses research findings to the direct benefit of patients. The German Federal Ministry of Education and Research (BMBF) is investing around 160 million euros in the programme through 2021. The digitisation of medicine is creating ...
Projects: SMITH - Smart Medical Information Technology for Healthcare, POLAR - Polypharmacy, Drug Interactions, Risks