Publications

958 Publications visible to you, out of a total of 958

Abstract (Expand)

The realisation of a complex web portal, including the modelling of content, is a challenging process. The contents describe different interconnected entities that form a complex structure. The entities and their relations have to be systematically analysed, and the content has to be specified and integrated into a content management system (CMS). Ontologies provide a suitable solution for modelling and specifying complex entities and their relations. However, the functionality for automated import of ontologies is not available in current content management systems. In order to describe the content of a web portal, we developed an ontology. Based on this ontology, we implemented a pipeline that allows the specification of the portal’s content and its import into the CMS Drupal. Our method is generic. It enables the development of web portals with the focus on a suitable representation of structured knowledge (entities, their properties and relations). Furthermore, it makes it possible to represent existing ontologies in such a way that their content can be understood by users without knowledge of ontologies and their semantics. Our approach has successfully been applied in building the LHA (Leipzig Health Atlas) portal, which provides access to metadata, data, publications and methods from various research projects at the University of Leipzig.

Authors: A. Uciteli, C. Beger, C. Rillich, F. A. Meineke, M. Loffler, H. Herre

Date Published: 2018

Publication Type: InBook

Abstract

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Authors: T. Ganslandt, M. Boeker, Matthias Löbe, F. Prasser, J. Schepers, S. C. Semler, S. Thun, U. Sax

Date Published: 2018

Publication Type: InBook

Abstract

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Authors: R. Karim Md, B-Ph. Nguyen, L. Zimmermann, Toralf Kirsten, Matthias Löbe, Frank A. Meineke, H. Stenzhorn, O. Kohlbacker, S. Decker, O. Beyan

Date Published: 2018

Publication Type: InProceedings

Abstract

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Authors: Alfred Winter, Sebastian Stäubert, Danny Ammon, Stephan Aiche, Oya Beyan, Verena Bischoff, Philipp Daumke, Stefan Decker, Gert Funkat, Jan Erik Gewehr, Armin de Greiff, Silke Haferkamp, Udo Hahn, Andreas Henkel, Toralf Kirsten, Thomas Klöss, Jörg Lippert, Matthias Löbe, Volker Lowitsch, Oliver Maassen, Jens Maschmann, Sven Meister, Rafael Mikolajczyk, Matthias Nüchter, Mathias W. Pletz, Erhard Rahm, Morris Riedel, Kutaiba Saleh, Andreas Schuppert, Stefan Smers, André Stollenwerk, Stefan Uhlig, Thomas Wendt, Sven Zenker, Wolfgang Fleig, Gernot Marx, André Scherag, Markus Löffler

Date Published: 2018

Publication Type: Journal article

Abstract

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Authors: Jan-David Liebe, Moritz Esdar, Franziska Jahn, Ursula Hübner

Date Published: 2018

Publication Type: InCollection

Abstract (Expand)

BACKGROUND Medical plaintext documents contain important facts about patients, but they are rarely available for structured queries. The provision of structured information from natural language textss in addition to the existing structured data can significantly speed up the search for fulfilled inclusion criteria and thus improve the recruitment rate. OBJECTIVES This work is aimed at supporting clinical trial recruitment with text mining techniques to identify suitable subjects in hospitals. METHOD Based on the inclusion/exclusion criteria of 5 sample studies and a text corpus consisting of 212 doctor’s letters and medical follow-up documentation from a university cancer center, a prototype was developed and technically evaluated using NLP procedures (UIMA) for the extraction of facts from medical free texts. RESULTS It was found that although the extracted entities are not always correct (precision between 23% and 96%), they provide a decisive indication as to which patient file should be read preferentially. CONCLUSION The prototype presented here demonstrates the technical feasibility. In order to find available, lucrative phenotypes, an in-depth evaluation is required.

Authors: Matthias Löbe, Sebastian Stäubert, Colleen Goldberg, Ivonne Haffner, Alfred Winter

Date Published: 2018

Publication Type: Journal article

Abstract

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Authors: Salma El-Oualydy, Matthias Löbe, Frank Meineke, Alfred Winter

Date Published: 2018

Publication Type: Misc

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