Machine learning for operative time prediction in robotic ventral hernia repair patients: Perspective on predictive model development and validation.
- DOI
- 10.1007/s00423-026-04321-x
- Published
- 2026 Oct 2
- Container
- Langenbeck's archives of surgery
- Publisher
- Not recorded
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.1007/s00423-026-04321-x,
title = {Machine learning for operative time prediction in robotic ventral hernia repair patients: Perspective on predictive model development and validation.},
author = {Jasur R and Molai-Rad AM and Khasanova D and Bahreini A and Niyazov S and Jumakulov N and Najmutdinova D and Alimova F},
year = {2026},
journal = {Langenbeck's archives of surgery},
doi = {10.1007/s00423-026-04321-x},
url = {https://doi.org/10.1007/s00423-026-04321-x}
}RIS
TY - JOUR TI - Machine learning for operative time prediction in robotic ventral hernia repair patients: Perspective on predictive model development and validation. AU - Jasur R AU - Molai-Rad AM AU - Khasanova D AU - Bahreini A AU - Niyazov S AU - Jumakulov N AU - Najmutdinova D AU - Alimova F PY - 2026 JO - Langenbeck's archives of surgery DO - 10.1007/s00423-026-04321-x UR - https://doi.org/10.1007/s00423-026-04321-x ER -
APA
R, J., AM, M., D, K., A, B., S, N., N, J., D, N., & F, A. (2026). Machine learning for operative time prediction in robotic ventral hernia repair patients: Perspective on predictive model development and validation.. Langenbeck's archives of surgery. https://doi.org/10.1007/s00423-026-04321-x
Source records
- pubmed · retrieved 2026-11-10T11:54:13.629Z