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Christian Gulden
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2020 – today
- 2024
- [j4]Christian Gulden, Philipp Macho, Ines Reinecke, Cosima Strantz, Hans-Ulrich Prokosch, Romina Blasini:
recruIT: A cloud-native clinical trial recruitment support system based on Health Level 7 Fast Healthcare Interoperability Resources (HL7 FHIR) and the Observational Medical Outcomes Partnership Common Data Model (OMOP CDM). Comput. Biol. Medicine 174: 108411 (2024) - [c8]Christian Gulden, Dennis Toddenroth:
Classification of Veterinary Subjects in Medical Literature and Clinical Summaries. GMDS 2024: 210-217 - 2022
- [b1]Christian Gulden:
Vom Studienregister zum automatischen Rekrutierungsvorschlag: IT-Unterstützung für die Rekrutierung in Klinischen Studien. University of Erlangen-Nuremberg, Germany, 2022 - [j3]Jonathan Mang, Susanne Andrea Seuchter, Christian Gulden, Stefanie Schild, Detlef Kraska, Hans-Ulrich Prokosch, Lorenz A. Kapsner:
DQAgui: a graphical user interface for the MIRACUM data quality assessment tool. BMC Medical Informatics Decis. Mak. 22(1): 213 (2022) - 2021
- [c7]Raphael Scheible, Deniz Çaliskan, Patrick Fischer, Fabian Thomczyk, Susanne Zabka, Henning Schneider, Martin Boeker, Stefan Schulz, Hans-Ulrich Prokosch, Christian Gulden:
AHD2FHIR: A Tool for Mapping of Natural Language Annotations to Fast Healthcare Interoperability Resources - A Technical Case Report. MedInfo 2021: 32-36 - [c6]Albert Vass, Ines Reinecke, Martin Boeker, Hans-Ulrich Prokosch, Christian Gulden:
Availability of Structured Data Elements in Electronic Health Records for Supporting Patient Recruitment in Clinical Trials. MedInfo 2021: 130-134 - 2020
- [j2]Stefanie Schild, Julian Gründner, Christian Gulden, Hans-Ulrich Prokosch, Michael St Pierre, Martin Sedlmayr:
Data Model Requirements for a Digital Cognitive Aid for Anesthesia to Support Intraoperative Crisis Management. Appl. Clin. Inform. 11(01): 190-199 (2020) - [c5]Ines Reinecke, Christian Gulden, Michéle Kümmel, Azadeh Nassirian, Romina Blasini, Martin Sedlmayr:
Design for a Modular Clinical Trial Recruitment Support System Based on FHIR and OMOP. MIE 2020: 158-162
2010 – 2019
- 2019
- [j1]Christian Gulden, Melanie Kirchner, Christina Schüttler, Marc Hinderer, Marvin O. Kampf, Hans-Ulrich Prokosch, Dennis Toddenroth:
Extractive summarization of clinical trial descriptions. Int. J. Medical Informatics 129: 114-121 (2019) - [c4]Marcus Sommer, Melanie Kirchner, Christian Gulden, Sainab Egloffstein, Michael Patrick Lux, Matthias Wilhelm Beckmann, Andreas Mackensen, Hans-Ulrich Prokosch:
Design and Implementation of a Single Source Multipurpose Hospital-Wide Clinical Trial Registry. EFMI-STC 2019: 164-168 - [c3]Christian Gulden, Inge Landerer, Azadeh Nassirian, Fatma Betül Altun, Johanna Andrae:
Extraction and Prevalence of Structured Data Elements in Free-Text Clinical Trial Eligibility Criteria. EFMI-STC 2019: 226-230 - 2018
- [c2]Christopher Eibel, Christian Gulden, Wolfgang Schröder-Preikschat, Tobias Distler:
Strome: Energy-Aware Data-Stream Processing. DAIS 2018: 40-57 - [c1]Christian Gulden, Sebastian Mate, Hans-Ulrich Prokosch, Stefan Kraus:
Investigating the Capabilities of FHIR Search for Clinical Trial Phenotyping. GMDS 2018: 3-7
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last updated on 2024-10-15 21:36 CEST by the dblp team
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