A Systematic Review on the Effectiveness of Machine Learning in the Detection of Atrial Fibrillation.
- DOI
- 10.2174/011573403x293703240715104503
- Published
- 2025
- Container
- Current cardiology reviews
- 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.
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Cite this work
BibTeX
@article{allodium:10.2174/011573403x293703240715104503,
title = {A Systematic Review on the Effectiveness of Machine Learning in the Detection of Atrial Fibrillation.},
author = {Abdulraheem LW and Al-Dwa B and Shchekochikhin D and Gognieva D and Chomakhidze P and Kuznetsova N and Kopylov P and Bestavashvilli AA},
year = {2025},
journal = {Current cardiology reviews},
doi = {10.2174/011573403x293703240715104503},
url = {https://doi.org/10.2174/011573403x293703240715104503}
}RIS
TY - JOUR TI - A Systematic Review on the Effectiveness of Machine Learning in the Detection of Atrial Fibrillation. AU - Abdulraheem LW AU - Al-Dwa B AU - Shchekochikhin D AU - Gognieva D AU - Chomakhidze P AU - Kuznetsova N AU - Kopylov P AU - Bestavashvilli AA PY - 2025 JO - Current cardiology reviews DO - 10.2174/011573403x293703240715104503 UR - https://doi.org/10.2174/011573403x293703240715104503 ER -
APA
LW, A., B, A., D, S., D, G., P, C., N, K., P, K., & AA, B. (2025). A Systematic Review on the Effectiveness of Machine Learning in the Detection of Atrial Fibrillation.. Current cardiology reviews. https://doi.org/10.2174/011573403x293703240715104503
Source records
- pubmed · retrieved 2026-09-27T15:12:08.043Z