Machine learning modeling of United Network for Organ Sharing database highlights donor-type–specific risk from extended out-of-body time
- DOI
- 10.1016/j.jtcvs.2026.11.003
- Published
- 2026-11
- Container
- The Journal of Thoracic and Cardiovascular Surgery
- Publisher
- Elsevier BV
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1016/j.jtcvs.2026.11.003,
title = {Machine learning modeling of United Network for Organ Sharing database highlights donor-type–specific risk from extended out-of-body time},
author = {Amit Banga and Laveena Chhatwani and Paul K. Mohabir and Fatma Gunturkun and Mengrui Zhang and John W. MacArthur and Gundeep Dhillon},
year = {2026},
journal = {The Journal of Thoracic and Cardiovascular Surgery},
doi = {10.1016/j.jtcvs.2026.11.003},
url = {https://doi.org/10.1016/j.jtcvs.2026.11.003}
}RIS
TY - JOUR TI - Machine learning modeling of United Network for Organ Sharing database highlights donor-type–specific risk from extended out-of-body time AU - Amit Banga AU - Laveena Chhatwani AU - Paul K. Mohabir AU - Fatma Gunturkun AU - Mengrui Zhang AU - John W. MacArthur AU - Gundeep Dhillon PY - 2026 JO - The Journal of Thoracic and Cardiovascular Surgery DO - 10.1016/j.jtcvs.2026.11.003 UR - https://doi.org/10.1016/j.jtcvs.2026.11.003 ER -
APA
Banga, A., Chhatwani, L., Mohabir, P. K., Gunturkun, F., Zhang, M., MacArthur, J. W., & Dhillon, G. (2026). Machine learning modeling of United Network for Organ Sharing database highlights donor-type–specific risk from extended out-of-body time. The Journal of Thoracic and Cardiovascular Surgery. https://doi.org/10.1016/j.jtcvs.2026.11.003
Source records
- crossref · retrieved 2026-11-09T15:45:10.962Z