Evaluation of machine learning models for stroke risk prediction in atrial fibrillation: a systematic review and meta-analysis.
- DOI
- 10.1186/s12872-026-05508-2
- Published
- 2026 Jan 26
- Container
- BMC cardiovascular disorders
- Publisher
- Not recorded
- Open access
- yes
Credibility signals
limited evidence Score 45/100 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.
- supportingOpen access status: Normalized open-access status: open.
- 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:10.1186/s12872-026-05508-2,
title = {Evaluation of machine learning models for stroke risk prediction in atrial fibrillation: a systematic review and meta-analysis.},
author = {Taebi M and Arvin A and Azarboo A and Behnoush AH and Momenzadeh M and Fallahtafti P and Humayun Z and Tajdini M},
year = {2026},
journal = {BMC cardiovascular disorders},
doi = {10.1186/s12872-026-05508-2},
url = {https://doi.org/10.1186/s12872-026-05508-2}
}RIS
TY - JOUR TI - Evaluation of machine learning models for stroke risk prediction in atrial fibrillation: a systematic review and meta-analysis. AU - Taebi M AU - Arvin A AU - Azarboo A AU - Behnoush AH AU - Momenzadeh M AU - Fallahtafti P AU - Humayun Z AU - Tajdini M PY - 2026 JO - BMC cardiovascular disorders DO - 10.1186/s12872-026-05508-2 UR - https://doi.org/10.1186/s12872-026-05508-2 ER -
APA
M, T., A, A., A, A., AH, B., M, M., P, F., Z, H., & M, T. (2026). Evaluation of machine learning models for stroke risk prediction in atrial fibrillation: a systematic review and meta-analysis.. BMC cardiovascular disorders. https://doi.org/10.1186/s12872-026-05508-2
Source records
- pubmed · retrieved 2026-09-26T12:30:57.266Z