PREBA: Surgical Duration Prediction via PCA-Weighted Retrieval-Augmented LLMs and Bayesian Averaging Aggregation
- DOI
- 10.48550/arxiv.2603.13275
- Published
- 2026
- Container
- Not recorded
- Publisher
- arXiv
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.48550/arxiv.2603.13275,
title = {PREBA: Surgical Duration Prediction via PCA-Weighted Retrieval-Augmented LLMs and Bayesian Averaging Aggregation},
author = {Wu, Wanyin and Li, Kanxue and Yu, Baosheng and Zhao, Haoyun and Zhan, Yibing and Tao, Dapeng and Jin, Hua},
year = {2026},
doi = {10.48550/arxiv.2603.13275},
url = {https://doi.org/10.48550/arxiv.2603.13275}
}RIS
TY - JOUR TI - PREBA: Surgical Duration Prediction via PCA-Weighted Retrieval-Augmented LLMs and Bayesian Averaging Aggregation AU - Wu, Wanyin AU - Li, Kanxue AU - Yu, Baosheng AU - Zhao, Haoyun AU - Zhan, Yibing AU - Tao, Dapeng AU - Jin, Hua PY - 2026 DO - 10.48550/arxiv.2603.13275 UR - https://doi.org/10.48550/arxiv.2603.13275 ER -
APA
Wanyin, W., Kanxue, L., Baosheng, Y., Haoyun, Z., Yibing, Z., Dapeng, T., & Hua, J. (2026). PREBA: Surgical Duration Prediction via PCA-Weighted Retrieval-Augmented LLMs and Bayesian Averaging Aggregation. https://doi.org/10.48550/arxiv.2603.13275
Source records
- datacite · retrieved 2026-11-07T11:23:48.793Z