Natural language processing for identifying major bleeding risk in hospitalised medical patients
This study highlights the incidence and risk factors of major bleeding in medical patients, emphasizing the predictive value of routinely measured biochemical markers. Furthermore, it shows the applicability of NLP models in identifying bleeding episodes in EHR text.
Authors
- Martin Sundahl Laursen
- Pernille Just Vinholt (ORCID: https://orcid.org/0000-0002-2035-0169)
- Anne Alnor (ORCID: https://orcid.org/0000-0002-6131-8886)
- Rasmus Bank Lynggaard (ORCID: https://orcid.org/0000-0003-3232-8222)
Institutions
- University of Southern Denmark (DK)
- Odense University Hospital (DK)
Publication Details
- Journal
- Computers in Biology and Medicine
- Published
- 2025-03-31
- DOI
- https://doi.org/10.1016/j.compbiomed.2025.110093
- Citations
- 4
- Primary Topic
- Machine Learning in Healthcare
- Type
- article
- Field-Weighted Citation Impact
- 9.92
Funders
- Hjerteforeningen