PUB - Publikationen an der Universität Bielefeld

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• [9]
  

  2024 | Bielefelder E-Dissertation | PUB-ID: 2985870

  L. Kühnel, From Hidden Data and Information towards Data-Driven Research in the Biomedical Domain, Bielefeld: Universität Bielefeld, 2024.

  PUB | PDF
   
• [8]
  

  2022 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2964356

  L. Langnickel, et al., “Continuous development of the semantic search preVIEW: from COVID-19 long COVID”, Database: The Journal of Biological Databases and Curation, vol. 2022, 2022, : baac048.

  PUB | DOI | WoS | PubMed | Europe PMC
   
• [7]
  

  2022 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2967396

  M. Lentzen, et al., “Critical assessment of transformer-based AI models for German clinical notes”, JAMIA Open , vol. 5, 2022, : ooac087.

  PUB | DOI | WoS | PubMed | Europe PMC
   
• [6]
  

  2022 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2966846

  L. Kühnel and J. Fluck, “We are not ready yet: limitations of state-of-the-art disease named entity recognizers”, Journal of Biomedical Semantics , vol. 13, 2022, : 26.

  PUB | DOI | WoS | PubMed | Europe PMC
   
• [5]
  

  2022 | Zeitschriftenaufsatz | E-Veröff. vor dem Druck | PUB-ID: 2962031

  L. Langnickel, D. Podorskaja, and J. Fluck, “Pre2Pub: An algorithm for tracking the path from preprint to journal”, Journal of Medical Internet Research, 2022.

  PUB | DOI | WoS | PubMed | Europe PMC
   
• [4]
  

  2021 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2959764

  L. Langnickel, et al., “Information Extraction from German Clinical Care Documents in Context of Alzheimer's Disease”, Applied Sciences, vol. 11, 2021, : 10717.

  PUB | PDF | DOI | WoS
   
• [3]
  

  2021 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2955258

  L. Langnickel, et al., “COVID-19 preVIEW: Semantic Search to Explore COVID-19 Research Preprints”, Public Health and Informatics. Proceedings of MIE 2021, J. Mantas, et al., eds., Studies in Health Technology and Informatics, vol. 281, Amsterdam: IOS Press, 2021, pp.78-82.

  PUB | DOI | PubMed | Europe PMC
   
• [2]
  

  2020 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2952362

  L. Langnickel, et al., “The future of German MeSH: a new semi-automatic translation process and new services for search and annotation - Die Zukunft der Deutschen MeSH: Ein neuer semi-automatischer Übersetzungsprozess und neue Services für Suche und Annotation”, GMS Medizinische Informatik, Biometrie und Epidemiologie, vol. 16, 2020, : Doc07.

  PUB | DOI
   
• [1]
  

  2019 | Kurzbeitrag Konferenz / Poster | Veröffentlicht | PUB-ID: 2952363

  L. Langnickel, et al., “Multi-task learning using NEural networks for biomedical text mining”, Presented at the 27th Conference on Intelligent Systems for Molecular Biology and 18th European Conference on Computational Biology (ISMB/ECCB 2019), Basel, Switzerland, F1000 Research Limited, 2019.

  PUB | DOI