Enhancing short-term survival prediction in liver transplant recipients: comparative analysis of penalized Cox regression, random survival forest and XGBoost.
- DOI
- 10.1186/s12911-026-03766-w
- Published
- 2026 Aug 12
- Container
- BMC medical informatics and decision making
- Publisher
- Not recorded
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1186/s12911-026-03766-w,
title = {Enhancing short-term survival prediction in liver transplant recipients: comparative analysis of penalized Cox regression, random survival forest and XGBoost.},
author = {Abdi F and Pourahmad S and Shafiekhani M and Nikoupour H and Doostfatemeh M},
year = {2026},
journal = {BMC medical informatics and decision making},
doi = {10.1186/s12911-026-03766-w},
url = {https://doi.org/10.1186/s12911-026-03766-w}
}RIS
TY - JOUR TI - Enhancing short-term survival prediction in liver transplant recipients: comparative analysis of penalized Cox regression, random survival forest and XGBoost. AU - Abdi F AU - Pourahmad S AU - Shafiekhani M AU - Nikoupour H AU - Doostfatemeh M PY - 2026 JO - BMC medical informatics and decision making DO - 10.1186/s12911-026-03766-w UR - https://doi.org/10.1186/s12911-026-03766-w ER -
APA
F, A., S, P., M, S., H, N., & M, D. (2026). Enhancing short-term survival prediction in liver transplant recipients: comparative analysis of penalized Cox regression, random survival forest and XGBoost.. BMC medical informatics and decision making. https://doi.org/10.1186/s12911-026-03766-w
Source records
- pubmed · retrieved 2026-11-11T00:08:54.792Z