Detection of coronary microvascular dysfunction based on machine learning algorithm with multidimensional temporal-spatial features from electrocardiogram.
- DOI
- 10.1088/1361-6579/ae7799
- Published
- 2026 Jun 29
- Container
- Physiological measurement
- Publisher
- Not recorded
- Open access
- unknown
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:10.1088/1361-6579/ae7799,
title = {Detection of coronary microvascular dysfunction based on machine learning algorithm with multidimensional temporal-spatial features from electrocardiogram.},
author = {Zhao X and Gong Y and Xia L and Zhang J and Huang T and Mao J and Li J and Liu H},
year = {2026},
journal = {Physiological measurement},
doi = {10.1088/1361-6579/ae7799},
url = {https://doi.org/10.1088/1361-6579/ae7799}
}RIS
TY - JOUR TI - Detection of coronary microvascular dysfunction based on machine learning algorithm with multidimensional temporal-spatial features from electrocardiogram. AU - Zhao X AU - Gong Y AU - Xia L AU - Zhang J AU - Huang T AU - Mao J AU - Li J AU - Liu H PY - 2026 JO - Physiological measurement DO - 10.1088/1361-6579/ae7799 UR - https://doi.org/10.1088/1361-6579/ae7799 ER -
APA
X, Z., Y, G., L, X., J, Z., T, H., J, M., J, L., & H, L. (2026). Detection of coronary microvascular dysfunction based on machine learning algorithm with multidimensional temporal-spatial features from electrocardiogram.. Physiological measurement. https://doi.org/10.1088/1361-6579/ae7799
Source records
- pubmed · retrieved 2026-09-25T06:47:53.369Z