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Research Findings from Data Use Projects in Cooperation with the DIC
Project HELP
Palm, Julia; Alaid, Ssuhir; Ammon, Danny et al.: Leveraging Electronic Medical Records to Evaluate a Computerized Decision Support System for Staphylococcus Bacteremia. In: npj Digital Medicine 8 (2025), Art. 180. DOI: 10.1038/s41746-025-01569-3
Project POLAR
Wermund, Anna Maria; Thalheim, Torsten, Medek, André et al.: Challenges in Detecting and Predicting Adverse Drug Events via Distributed Analysis of Electronic Health Record Data from German University Hospitals. In: PLOS Digital Health 4 (2025), No. 6, Art. e0000892. DOI: 10.1371/journal.pdig.0000892
Project STAKI2B2
Stolp, Johannes; Weber, Christoph; Ammon, Danny et al.: Automated Sample Annotation for Diabetes Mellitus in Healthcare Integrated Biobanking. In: Computational and Structural Biotechnology Journal 24 (2024), pp. 724–733. DOI: 10.1016/j.csbj.2024.10.033
Weber, Christoph; Röschke, Lena; Modersohn, Luise et al.: Optimized Identification of Advanced Chronic Kidney Disease and Absence of Kidney Disease by Combining Different Electronic Health Data Resources and by Applying Machine Learning Strategies. In: Journal of Clinical Medicine 9 (2020), No. 9, p. 2955. DOI: 10.3390/jcm9092955
Medical Informatics Initiative Germany
Kapsner, Lorenz A.; Kampf, Marvin O.; Seuchter, Susanne A. et al Reduced Rate of Inpatient Hospital Admissions in 18 German University Hospitals During the COVID-19 Lockdown. In: Frontiers in Public Health 8 (2020), Art. 594117. DOI: 10.3389/fpubh.2020.594117