Seiteninterne Suche

Christian Gulden

Christian Gulden, M. Sc.

  • Tätigkeit: Wiss. Mitarb.
  • Organisation: Institut für Medizininformatik, Biometrie und Epidemiologie
  • Abteilung: Lehrstuhl für Medizinische Informatik
  • Telefonnummer: +49 9131 85-25235
  • Faxnummer: +49 9131 85-26754
  • E-Mail: christian.gulden@fau.de
  • Adresse:
    Wetterkreuz 13
    91058 Erlangen-Tennenlohe
    Raum 1.034

Projekt

MIRACUM

Publikationen

Gruendner J, Schwachhofer T, Sippl P, Wolf N, Erpenbeck M, Gulden C, Kapsner LA, Zierk J, Mate S, Stürzl M, Croner R, Prokosch HU, Toddenroth D. KETOS: Clinical decision support and machine learning as a service – A training and deployment platform based on Docker, OMOP-CDM, and FHIR Web Services. PLoS One. 2019 Oct 3;14(10):e0223010. DOI: 10.1371/journal.pone.0223010. PMID: 31581246

Gulden C, Kirchner M, Schüttler C, Hinderer M, Kampf M, Prokosch HU, Toddenroth D. Extractive summarization of clinical trial descriptions. Int J Med Inform. 2019 Sep;129:114-121. DOI: 10.1016/j.ijmedinf.2019.05.019. PMID: 31445245 

Gulden C, Landerer I, Nassirian A, Altun FB, Andrae J. Extraction and Prevalence of Structured Data Elements in Free-Text Clinical Trial Eligibility Criteria. Stud Health Technol Inform. 2019;258:226-230. DOI: 10.3233/978-1-61499-959-1-226 PMID: 30942751

Sommer M, Kirchner M, Gulden C, Egloffstein S, Lux MP, Beckmann MW, Mackensen A, Prokosch HU. Design and Implementation of a Single Source Multipurpose Hospital-Wide Clinical Trial Registry. Stud Health Technol Inform. 2019;258:164-168. DOI: 10.3233/978-1-61499-959-1-164 PMID: 30942738

Gulden C, Mate S, Prokosch HU, Kraus S. Investigating the Capabilities of FHIR Search for Clinical Trial Phenotyping. Studies in Health Technology and Informatics. 2018;253:3-7. German Medical Data Sciences: A Learning Healthcare System, DOI: 10.3233/978-1-61499-896-9-3. PMID: 28883187