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Christian Gulden

Christian Gulden, M. Sc.

  • Tätigkeit: Wiss. Mitarb.
  • Organisation: Institut für Medizininformatik, Biometrie und Epidemiologie
  • Abteilung: Lehrstuhl für Medizinische Informatik
  • Telefonnummer: +49 9131 85-67787
  • Faxnummer: +49 9131 85-26754
  • E-Mail: christian.gulden@fau.de
  • Adresse:
    Wetterkreuz 15
    91058 Erlangen-Tennenlohe
    Raum 1.178-6

Projekt

MIRACUM

Publikationen

Reinecke I, Gulden C, Kümmel M, Nassirian A, Blasini R, Sedlmayr M. Design for a Modular Clinical Trial Recruitment Support System Based on FHIR and OMOP. Stud Health Technol Inform. 2020;270:158-162. DOI: 10.3233/SHTI200142. PMID: 32570366

Schild S, Gruendner J, Gulden C, Prokosch HU, St Pierre M, Sedlmayr M. Data Model Requirements for a Digital Cognitive Aid for Anesthesia to Support Intraoperative Crisis Management. Appl Clin Inform. 2020;11(1):190–199. DOI: 10.1055/s-0040-1703015. PMID: 32162289

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: 30147028