Risk assessment in cardiac surgery: Exploring machine learning and laboratory indices as adjunctive tools
Pre-operative laboratory values are effective predictors of all-cause one-year mortality post-cardiovascular surgery used in conjunction with machine learning. Renal function, red cell distribution width, leukocytosis, and erythrocyte indices appear to be important prognostic factors.
Authors
- Wesley Chorney (ORCID: https://orcid.org/0009-0008-2598-6837)
- John Hinchion
Institutions
- University College Cork (IE)
- Cork University Hospital (IE)
Publication Details
- Journal
- PLoS ONE
- Published
- 2026-02-05
- DOI
- https://doi.org/10.1371/journal.pone.0335289
- Citations
- 1
- Primary Topic
- Inflammatory Biomarkers in Disease Prognosis
- Type
- article
- Field-Weighted Citation Impact
- 24.20