Detection of Antithrombotic-Related Bleeding in Older Inpatients: Multicenter Retrospective Study Using Structured and Unstructured Electronic Health Record Data
Our integrated approach, combining SDA with NLP, enhances the detection of hemorrhagic events in older hospitalized patients treated with antithrombotic agents, suggesting its potential usefulness for drug safety monitoring and clinical risk management.
Institutions
- University of Geneva (CH)
- SIB Swiss Institute of Bioinformatics (CH)
- University of Lucerne (CH)
- HES-SO University of Applied Sciences and Arts Western Switzerland (CH)
- University of Zurich (CH)
- Fondazione Bruno Kessler (IT)
- Dalle Molle Institute for Artificial Intelligence Research (CH)
- University Hospital of Zurich (CH)
- Digital Artefacts (United States) (US)
- Centre universitaire de médecine générale et santé publique, Lausanne (CH)
- Kantonsspital Aarau (CH)
- University of Lausanne (CH)
Publication Details
- Journal
- Journal of Medical Internet Research
- Published
- 2025-11-27
- DOI
- https://doi.org/10.2196/77809
- Primary Topic
- Machine Learning in Healthcare
- Type
- article
- Field-Weighted Citation Impact
- 0.00