Data-Driven Algorithms for Classification of In- and Outpatients in the Danish National Patient Register
Our study shows that all presented classification methods are suitable for categorizing patient types in DNPR2 depending on the available data and furthermore demonstrated robustness, supporting their suitability for classification in DNPR3. Future research should explore advanced techniques and comprehensive department classification for enhanced accuracy and applicability.
Authors
- Ann‐Sophie Buchardt (ORCID: https://orcid.org/0000-0002-2567-9350)
- Andreas Jensen (ORCID: https://orcid.org/0000-0003-4302-2982)
- Pi Vejsig Madsen (ORCID: https://orcid.org/0009-0001-0002-8674)
Institutions
- Copenhagen University Hospital (DK)
- Rigshospitalet (DK)
Publication Details
- Journal
- Clinical Epidemiology
- Published
- 2025-02-01
- DOI
- https://doi.org/10.2147/clep.s500800
- Citations
- 1
- Primary Topic
- Machine Learning in Healthcare
- Type
- article
- Field-Weighted Citation Impact
- 2.48