Identifying proximal humerus fractures: an algorithmic approach using registers and radiological visit data
The proposed approach enables a more reliable way of identifying proximal humerus fractures from administrative data. This study contributes to the objective of automatically tracking all types of fragility fractures in large datasets.
Authors
- Heikki Kröger (ORCID: https://orcid.org/0000-0003-4245-8186)
- Reijo Sund (ORCID: https://orcid.org/0000-0002-6268-8117)
- Sanna Suoranta
- Sami P. Väänänen (ORCID: https://orcid.org/0000-0001-9803-7407)
- Tomi Nissinen (ORCID: https://orcid.org/0000-0002-6541-2677)
Institutions
- University of Eastern Finland (FI)
- Kuopio University Hospital (FI)
Publication Details
- Journal
- Osteoporosis International
- Published
- 2025-02-07
- DOI
- https://doi.org/10.1007/s00198-025-07414-3
- Citations
- 1
- Primary Topic
- Shoulder Injury and Treatment
- Type
- article
- Field-Weighted Citation Impact
- 2.01
Funders
- Itä-Suomen Yliopisto
- Suomen Kulttuurirahasto
- Kuopion Yliopistollinen Sairaala
- Pohjois-Savon Rahasto
- Terveyden Tutkimuksen Toimikunta