Optimizing predictive performance without sacrificing explainability: Comparing logistic regression and ensemble decision trees for abdominal aortic aneurysm repair outcomes.
- DOI
- 10.1016/j.jvsvi.2025.100300
- Published
- 2026-02-27
- Container
- JVS Vasc Insights
- Publisher
- Not recorded
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.1016/j.jvsvi.2025.100300,
title = {Optimizing predictive performance without sacrificing explainability: Comparing logistic regression and ensemble decision trees for abdominal aortic aneurysm repair outcomes.},
author = {Jeon BB and Kottakota AK and Kerr KE and Gueldner PH and Guffey MJ and Sen I and Liang NL and Vorp DA and Chung TK.},
year = {2026},
journal = {JVS Vasc Insights},
doi = {10.1016/j.jvsvi.2025.100300},
url = {https://doi.org/10.1016/j.jvsvi.2025.100300}
}RIS
TY - JOUR TI - Optimizing predictive performance without sacrificing explainability: Comparing logistic regression and ensemble decision trees for abdominal aortic aneurysm repair outcomes. AU - Jeon BB AU - Kottakota AK AU - Kerr KE AU - Gueldner PH AU - Guffey MJ AU - Sen I AU - Liang NL AU - Vorp DA AU - Chung TK. PY - 2026 JO - JVS Vasc Insights DO - 10.1016/j.jvsvi.2025.100300 UR - https://doi.org/10.1016/j.jvsvi.2025.100300 ER -
APA
BB, J., AK, K., KE, K., PH, G., MJ, G., I, S., NL, L., DA, V., & TK., C. (2026). Optimizing predictive performance without sacrificing explainability: Comparing logistic regression and ensemble decision trees for abdominal aortic aneurysm repair outcomes.. JVS Vasc Insights. https://doi.org/10.1016/j.jvsvi.2025.100300
Source records
- europe-pmc · retrieved 2026-09-25T18:15:38.110Z
- doaj · retrieved 2026-09-25T18:15:38.099Z