Network Analysis and Machine Learning for Signal Detection and Prioritization Using Electronic Healthcare Records and Administrative Databases: A Proof of Concept in Drug-Induced Acute Myocardial Infarction
Overall, our novel method demonstrates that network analysis is a valuable tool for signal detection and prioritization in drug-induced AEs based on EHRs and administrative databases.
Authors
- Bence Ágg (ORCID: https://orcid.org/0000-0002-6492-0426)
- Carla Carnovale (ORCID: https://orcid.org/0000-0002-4107-196X)
- Manuela Casula (ORCID: https://orcid.org/0000-0002-5124-5361)
- Maurizio Sessa (ORCID: https://orcid.org/0000-0003-0874-4744)
- Péter Ferdinandy (ORCID: https://orcid.org/0000-0002-6424-6806)
- Olivér M. Balogh (ORCID: https://orcid.org/0000-0002-6296-6383)
- Mátyás Pétervári (ORCID: https://orcid.org/0000-0002-4816-0746)
- Andrea Abate (ORCID: https://orcid.org/0000-0002-0835-0916)
- Vera Battini (ORCID: https://orcid.org/0000-0002-3513-9593)
- Edoardo Spina (ORCID: https://orcid.org/0000-0002-2509-7449)
- María Antonietta Barbieri (ORCID: https://orcid.org/0000-0002-2019-4696)
- Andrea Rossi (ORCID: https://orcid.org/0009-0001-6475-2418)
- Marianna Cocco
Institutions
- Semmelweis University (HU)
- University of Messina (IT)
- University of Copenhagen (DK)
- University of Milan (IT)
- MultiMedica (IT)
- Gamax (Hungary) (HU)
- ASST Fatebenefratelli Sacco (IT)
Publication Details
- Journal
- Drug Safety
- Published
- 2025-02-07
- DOI
- https://doi.org/10.1007/s40264-025-01515-y
- Citations
- 3
- Primary Topic
- Chronic Disease Management Strategies
- Type
- article
- Field-Weighted Citation Impact
- 4.06
Funders
- Københavns Universitet