Applicability of Machine Learning Algorithms in Diagnosis of Atrial Fibrillation and LQTS by Electrocardiogram Interpretation: A Systematic Review.

Nascimento PCGD, Martins MS, Improta-Caria AC, Aras Junior R

DOI: 10.36660/abc.20240843
Published: 2025 Jul
Container: Arquivos brasileiros de cardiologia
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.36660/abc.20240843,
  title = {Applicability of Machine Learning Algorithms in Diagnosis of Atrial Fibrillation and LQTS by Electrocardiogram Interpretation: A Systematic Review.},
  author = {Nascimento PCGD and Martins MS and Improta-Caria AC and Aras Junior R},
  year = {2025},
  journal = {Arquivos brasileiros de cardiologia},
  doi = {10.36660/abc.20240843},
  url = {https://doi.org/10.36660/abc.20240843}
}

RIS

TY  - JOUR
TI  - Applicability of Machine Learning Algorithms in Diagnosis of Atrial Fibrillation and LQTS by Electrocardiogram Interpretation: A Systematic Review.
AU  - Nascimento PCGD
AU  - Martins MS
AU  - Improta-Caria AC
AU  - Aras Junior R
PY  - 2025
JO  - Arquivos brasileiros de cardiologia
DO  - 10.36660/abc.20240843
UR  - https://doi.org/10.36660/abc.20240843
ER  -

APA

PCGD, N., MS, M., AC, I., & R, A. J. (2025). Applicability of Machine Learning Algorithms in Diagnosis of Atrial Fibrillation and LQTS by Electrocardiogram Interpretation: A Systematic Review.. Arquivos brasileiros de cardiologia. https://doi.org/10.36660/abc.20240843

Source records

pubmed · retrieved 2026-09-27T07:46:04.696Z