PreLora: A fine-tuning approach with low-rank matrix decomposition and prefix tuning for pre-hospital emergency text classification
- DOI
- 10.1016/j.artmed.2026.103364
- Published
- 2026-04
- Container
- Artificial Intelligence in Medicine
- Publisher
- Elsevier BV
- Open access
- unknown
Credibility signals
uncertain Score 64/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.
Show all credibility signals
- supportingDOI registered: A matching record was returned by Crossref.
- supportingDOI resolves: A matching record was returned by Crossref.
- not scoredDirectory of Open Access Journals: No matching DOAJ record was present in this response. No allow-list match; this is not evidence of low credibility.
- not scoredMEDLINE indexed: Not checked or no result supplied; no credibility inference made.
- not scoredOpenAlex core source: Not checked or no result supplied; no credibility inference made.
- not scoredKnown publisher allow-list: Not checked or no result supplied; no credibility inference made.
- not scoredROR affiliation: Not checked or no result supplied; no credibility inference made.
- not scoredRetraction Watch retraction: No retraction notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete.
- not scoredRetraction Watch expression of concern: No expression of concern notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete.
- not scoredRetraction Watch correction: No correction notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete.
- not scoredRetraction Watch reinstatement: No reinstatement notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete.
- not scoredOpen access status: Not checked or no result supplied; no credibility inference made.
- not scoredPublication license: Not checked or no result supplied; no credibility inference made.
- not scoredPublication version: A publication version was supplied but is not scored.
- supportingMetadata completeness: All 6 scored descriptive metadata groups are present.
Cite this work
BibTeX
@article{allodium:10.1016/j.artmed.2026.103364,
title = {PreLora: A fine-tuning approach with low-rank matrix decomposition and prefix tuning for pre-hospital emergency text classification},
author = {Feng Tian and Xian Wang and Saicong Lu and Jiaxuan Gu and Shitao Zhou and Penghui Li and Zhen Wang and Zengjun Jin and Feifei Zhao and Zhenjie Yang and Longqiang Zhang and Tingting Zhao and Haifang Zhang},
year = {2026},
journal = {Artificial Intelligence in Medicine},
doi = {10.1016/j.artmed.2026.103364},
url = {https://doi.org/10.1016/j.artmed.2026.103364}
}RIS
TY - JOUR TI - PreLora: A fine-tuning approach with low-rank matrix decomposition and prefix tuning for pre-hospital emergency text classification AU - Feng Tian AU - Xian Wang AU - Saicong Lu AU - Jiaxuan Gu AU - Shitao Zhou AU - Penghui Li AU - Zhen Wang AU - Zengjun Jin AU - Feifei Zhao AU - Zhenjie Yang AU - Longqiang Zhang AU - Tingting Zhao AU - Haifang Zhang PY - 2026 JO - Artificial Intelligence in Medicine DO - 10.1016/j.artmed.2026.103364 UR - https://doi.org/10.1016/j.artmed.2026.103364 ER -
APA
Tian, F., Wang, X., Lu, S., Gu, J., Zhou, S., Li, P., Wang, Z., Jin, Z., Zhao, F., Yang, Z., Zhang, L., Zhao, T., & Zhang, H. (2026). PreLora: A fine-tuning approach with low-rank matrix decomposition and prefix tuning for pre-hospital emergency text classification. Artificial Intelligence in Medicine. https://doi.org/10.1016/j.artmed.2026.103364
Source records
- crossref · retrieved 2026-11-10T14:45:15.349Z