Title
Data intensive analysis for identification and prediction of risk medications and side effects in Kalmar region (DIIPRIM)
Applicants
Linnaeus University: Tora Hammar, Olof Björneld, Alisa Lincke, Rafael Messias Martins, Thomas Holgersson
External collaboration: Björn Wettermark, Uppsala University; Ylva Askfors and Hanna Justad, Region Stockholm
Project period
June 2021–April 2022
Core research areas
Computer science, e-health/health informatics, statistics
Proposal
Risk Medications såddansökan DISA 2107.pdf
Final report
Final report_Seed_project_DIIPRIM_20221109_clean.pdf
The overall objective of this proposal is to explore the prevalence of drug combinations that can lead to an increased risk of side effects in Region Kalmar County, using algorithms from Janusmed knowledge databases, and to analyze how clinically relevant the risk classifications of the systems are. The initial exploration will be supported with machine learning-based analysis with special focus on knowledge discovery.
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