Interpretable machine learning model based on radiomic features of hippocampal subfields for classifying zoster-associated pain.
- DOI
- 10.1016/j.brainresbull.2026.112180
- Published
- 2026 Oct 24
- Container
- Brain research bulletin
- Publisher
- Not recorded
- Open access
- no
Credibility signals
limited evidence Score 43/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.
Show all credibility signals
- cautionDOI registered: No matching Crossref record was present in this response.
- cautionDOI resolves: No matching Crossref record was present in this response.
- 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.
- cautionMetadata completeness: 5 of 6 scored descriptive metadata groups are present; missing fields increase uncertainty.
Cite this work
BibTeX
@article{allodium:10.1016/j.brainresbull.2026.112180,
title = {Interpretable machine learning model based on radiomic features of hippocampal subfields for classifying zoster-associated pain.},
author = {Wen X and Peng R and Wang M and Yu M and Liu S and Zhang D and Ren C and Chen G},
year = {2026},
journal = {Brain research bulletin},
doi = {10.1016/j.brainresbull.2026.112180},
url = {https://doi.org/10.1016/j.brainresbull.2026.112180}
}RIS
TY - JOUR TI - Interpretable machine learning model based on radiomic features of hippocampal subfields for classifying zoster-associated pain. AU - Wen X AU - Peng R AU - Wang M AU - Yu M AU - Liu S AU - Zhang D AU - Ren C AU - Chen G PY - 2026 JO - Brain research bulletin DO - 10.1016/j.brainresbull.2026.112180 UR - https://doi.org/10.1016/j.brainresbull.2026.112180 ER -
APA
X, W., R, P., M, W., M, Y., S, L., D, Z., C, R., & G, C. (2026). Interpretable machine learning model based on radiomic features of hippocampal subfields for classifying zoster-associated pain.. Brain research bulletin. https://doi.org/10.1016/j.brainresbull.2026.112180
Source records
- pubmed · retrieved 2026-11-10T14:29:20.923Z
- europe-pmc · retrieved 2026-11-10T14:29:20.936Z