Comparison of multiple machine learning methods for predicting postoperative hyperglycemia in patients without diabetes undergoing cardiac surgery
In contrast to more complex machine learning approaches, logistic regression demonstrated superior predictive accuracy for SHG in non-diabetic cardiac surgery older adult patients. Its exceptional performance metrics and clinical interpretability support its practical utility as an effective decision-support tool for perioperative risk stratification and management.
Authors
- Mengli Zhang
- Huan Duan
- Jinyan Wu
- Lulu Wang (ORCID: https://orcid.org/0009-0008-2442-5034)
- Xue Fang (ORCID: https://orcid.org/0000-0002-4691-9878)
- Shuang Cui (ORCID: https://orcid.org/0000-0001-7231-1543)
- Guili Yang (ORCID: https://orcid.org/0000-0003-4411-7043)
Institutions
- Bengbu Medical College (CN)
- The Second Affiliated Hospital of Bengbu Medical College (CN)
- First Affiliated Hospital of Bengbu Medical College (CN)
Publication Details
- Journal
- Frontiers in Cardiovascular Medicine
- Published
- 2025-11-27
- DOI
- https://doi.org/10.3389/fcvm.2025.1699809
- Primary Topic
- Hyperglycemia and glycemic control in critically ill and hospitalized patients
- Type
- article
- Field-Weighted Citation Impact
- 0.00