Beyond labels: determining the true type of blood gas samples in ICU patients through supervised machine learning
Supervised machine learning demonstrates efficacy in determining blood gas sample type from ICU patients. This approach shows promise for improving the accuracy of research and clinical applications relying on blood gas data.
Authors
- Johan Helleberg
- Johan Mårtensson (ORCID: https://orcid.org/0000-0001-8739-7896)
- Ragnar Thobaben (ORCID: https://orcid.org/0000-0001-9307-484X)
- Olav Rooyackers (ORCID: https://orcid.org/0000-0002-3391-5448)
- Anna Sundelin (ORCID: https://orcid.org/0009-0007-2508-5599)
Institutions
- Karolinska University Hospital (SE)
- Karolinska Institutet (SE)
- KTH Royal Institute of Technology (SE)
Publication Details
- Journal
- BMC Medical Informatics and Decision Making
- Published
- 2025-07-24
- DOI
- https://doi.org/10.1186/s12911-025-03115-3
- Primary Topic
- Sepsis Diagnosis and Treatment
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Karolinska Institutet