Mathematical models and artificial intelligence for studying the ventricular dyssynchrony and improving the effectiveness of cardiac resynchronization therapy
- DOI
- 10.15829/1560-4071-2024-6194
- Published
- 2024-12-13
- Container
- Russian Journal of Cardiology
- Publisher
- Silicea - Poligraf, LLC
- 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:10.15829/1560-4071-2024-6194,
title = {Mathematical models and artificial intelligence for studying the ventricular dyssynchrony and improving the effectiveness of cardiac resynchronization therapy},
author = {T. M. Nesterova and V. Yu. Kabak and D. S. Lebedev and O. E. Solovyova},
year = {2024},
journal = {Russian Journal of Cardiology},
doi = {10.15829/1560-4071-2024-6194},
url = {https://doi.org/10.15829/1560-4071-2024-6194}
}RIS
TY - JOUR TI - Mathematical models and artificial intelligence for studying the ventricular dyssynchrony and improving the effectiveness of cardiac resynchronization therapy AU - T. M. Nesterova AU - V. Yu. Kabak AU - D. S. Lebedev AU - O. E. Solovyova PY - 2024 JO - Russian Journal of Cardiology DO - 10.15829/1560-4071-2024-6194 UR - https://doi.org/10.15829/1560-4071-2024-6194 ER -
APA
Nesterova, T. M., Kabak, V. Y., Lebedev, D. S., & Solovyova, O. E. (2024). Mathematical models and artificial intelligence for studying the ventricular dyssynchrony and improving the effectiveness of cardiac resynchronization therapy. Russian Journal of Cardiology. https://doi.org/10.15829/1560-4071-2024-6194
Source records
- crossref · retrieved 2026-09-26T08:25:06.802Z