Scripts for data retrieval and statistical analysis of the publication "Challenges of predicting adverse drug events in distributed analysis" Version 1
LHA ID: 8VF7DGV205-4
3 items are associated with this Model:-
WP_1_5_local_StatisticalAnalysis.zip (Zip file - 2.83 MB)
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WP_1_5_local_DataRetrieval.zip (Zip file - 2.82 MB)
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WP_1_5_central_Metaanalysis.zip (Zip file - 23.9 KB)
Human Disease: Not specified
Model type: Not specified
Model format: R package
Execution or visualisation environment: RStudio
Model image: No image specified
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Views: 48 Downloads: 1
Created: 27th May 2025 at 10:31
Last updated: 27th May 2025 at 10:44
Last used: 29th May 2025 at 06:40
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Version 1 Created 27th May 2025 at 10:31 by Anna Wermund
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Public web page: https://www.medizininformatik-initiative.de/en/POLAR
The aim of the project is to use methods and processes of the Medical Informatics Initiative (MII) to contribute to the detection of health risks in patients with polypharmacy. Polypharmacy occurs especially in elderly patients with multimorbidity. Polypharmacy associated with an increased risk for medication errors and drug-drug or drug-disease interactions, which either reduce or intensify the desired effect of individual active substances or lead to undesired adverse drug effects (ADE). In the ...
Programme: MII - Medical Informatics Initiative
Public web page: https://www.medizininformatik-initiative.de/en/POLAR
https://orcid.org/0000-0002-5735-0197
The medical informatics initiative was created to close the gap between research and healthcare. All of Germany’s university hospitals have joined forces with research institutions, businesses, health insurers, and patient advocacy groups to create a framework that harnesses research findings to the direct benefit of patients. The German Federal Ministry of Education and Research (BMBF) is investing around 160 million euros in the programme through 2021. The digitisation of medicine is creating ...
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