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.

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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
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article

Risk assessment in cardiac surgery: Exploring machine learning and laboratory indices as adjunctive tools

Wesley Chorney, John Hinchion
1 citations
PLoS ONE
Inflammatory Biomarkers in Disease Prognosis
24.20
article

Risk assessment in cardiac surgery: Exploring machine learning and laboratory indices as adjunctive tools

Wesley Chorney, John Hinchion
article en
1 citations

Abstract

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.

PLoS ONEVol. 21(2)
University College Cork (IE), Cork University Hospital (IE)
Good health and well-being
Openalex Percentile: Top 1%
Inflammatory Biomarkers in Disease Prognosis
24.20
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