MRI-Based Radiomics and Machine Learning for Predicting Refractory Outcomes in Ménière’s Disease: A Multicenter Preliminary Study
- DOI
- 10.21203/rs.3.rs-10396270/v1
- Published
- 2026-10-14
- Container
- Not recorded
- Publisher
- Springer Science and Business Media LLC
- Open access
- unknown
Credibility signals
uncertain Score 60/100 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.
- cautionPublication version: Identified as a preprint; peer review and later versions may change the record.
- supportingMetadata completeness: All 6 scored descriptive metadata groups are present.
Cite this work
BibTeX
@article{allodium:10.21203/rs.3.rs-10396270/v1,
title = {MRI-Based Radiomics and Machine Learning for Predicting Refractory Outcomes in Ménière’s Disease: A Multicenter Preliminary Study},
author = {yufeng zhong and Xiaochang Xiang and Yulong Tao and Yingchuan Zhu and Wen Xie and Aimei Yuan and Zijian Gong and Lianggeng Gong and Ting Shu},
year = {2026},
doi = {10.21203/rs.3.rs-10396270/v1},
url = {https://doi.org/10.21203/rs.3.rs-10396270/v1}
}RIS
TY - JOUR TI - MRI-Based Radiomics and Machine Learning for Predicting Refractory Outcomes in Ménière’s Disease: A Multicenter Preliminary Study AU - yufeng zhong AU - Xiaochang Xiang AU - Yulong Tao AU - Yingchuan Zhu AU - Wen Xie AU - Aimei Yuan AU - Zijian Gong AU - Lianggeng Gong AU - Ting Shu PY - 2026 DO - 10.21203/rs.3.rs-10396270/v1 UR - https://doi.org/10.21203/rs.3.rs-10396270/v1 ER -
APA
zhong, Y., Xiang, X., Tao, Y., Zhu, Y., Xie, W., Yuan, A., Gong, Z., Gong, L., & Shu, T. (2026). MRI-Based Radiomics and Machine Learning for Predicting Refractory Outcomes in Ménière’s Disease: A Multicenter Preliminary Study. https://doi.org/10.21203/rs.3.rs-10396270/v1
Source records
- crossref · retrieved 2026-11-10T14:18:33.984Z