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Dr. rer. nat. Joscha Grüger

Organizational unit Experience-based Learning Systems
Contact +49 651 201 4166 (Trier)

Address (Trier) Gebäude HBehringstraße 2154296 Trier

Publications

All publications

  1. Challenges in Data Quality Management for IoT-Enhanced Event Logs

    Yannis Bertrand; Alexander Schultheis; Lukas Malburg; Joscha Grüger; Estefaní­a Serral Asensio; Ralph Bergmann

    In: Research Challenges in Information Science - 19th International Conference, RCIS 2025, Proceedings. IEEE International Conference on Research Challenges in Information Science (RCIS-2025), 19th International Conference on Research Challenges in Information Science, May 20-23, Seville, Spain, Pages 20-36, Lecture Notes in Business Information Processing (LNBIP), Springer, 2025.

  2. Clinical Decision Support for Skin Tumor Treatment: A Case-Based Reasoning Approach

    Martin Kuhn; Yannik Warnecke; Daniel Preciado-Marquez; Joscha Grüger; Laura Isabell Bley; Michael Storck; Carsten Weishaupt; Ralph Bergmann; Stephan Alexander Braun

    In: Isabelle Bichindaritz; Beatriz López (Hrsg.). Case-Based Reasoning Research and Development. International Conference on Case-Based Reasoning (ICCBR), 33rd International Conference on Case-Based Reasoning, located at ICCBR-2025, June 30 - July 3, Biarritz, France, Pages 407-422, ISBN 978-3-031-96559-3, Springer Nature Switzerland, 2025.

Profile

  • KI-AIM

    AI-based anonymization in medicine

    The use of artificial intelligence (AI) offers the opportunity to fundamentally support and revolutionize knowledge-intensive activities. In business and many scientific disciplines, the changes…

  • KIAFlex

    Interactive AI assistance for predictive and flexible control in discharge and transition management

    Ensuring optimal and continuous care for patients is a major challenge in the German healthcare system. Discharge management plays a key role in this process because it is responsible for continuity…

    KIAFlex

  • DaTreFo

    Datentreuhänder mit verschlüsselten Datenschätzen für die Forschung

    Um KI-Technologien für die medizinische Forschung zu entwickeln, werden immense Datenmengen aus aktuellen und bereits abgeschlossenen Krankheitsfällen zum Lernen benötigt. Zwar werden solche Daten in…

  • Pre-OnkoCase

    Preliminary study for the realization of a case-oriented decision support system for treatment recommendations of skin cancer.

    In the case of advanced skin cancer, treatment decisions are often based on the personal experience of the treating physician due to a lack of evidence. Significant progress can be made here with a…

    Pre-OnkoCase