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Peer-reviewedCC BYMedical sciences (Basel, Switzerland)

Prediction of New-Onset Atrial Fibrillation in Patients with Acute Myocardial Infarction: A Machine Learning Approach

  • Nadejda Chiriliuc1
  • Alexandru Corlateanu2
  • Oleg Arnaut3
  • Ion Esanu1
  • Lilia David4
  • Daniela Bursacovschi5
5 affiliations
  1. 1Department of Cardiac Surgery Intensive Care, Public Healthcare Institution—Institute of Cardiology, MD-2025 Chisinau, Moldova; (N.C.); (I.E.)
  2. 2Department of Respiratory Medicine and Allergology, , MD-2004 Chisinau, Moldova
  3. 3Department of Human Physiology and Biophysics, , MD-2004 Chisinau, Moldova;
  4. 4Laboratory of Cardiac Arrhythmias and Cardiac Emergencies, Public Healthcare Institution—Institute of Cardiology, MD-2025 Chisinau, Moldova;
  5. 5Department of Heart Failure, Public Healthcare Institution—Institute of Cardiology, MD-2025 Chisinau, Moldova;
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Cite

BibTeXRIS
BibTeX
@article{chiriliuc2026prediction,
  title = {{Prediction of New-Onset Atrial Fibrillation in Patients with Acute Myocardial Infarction: A Machine Learning Approach}},
  author = {Nadejda Chiriliuc and Alexandru Corlateanu and Oleg Arnaut and Ion Esanu and Lilia David and Daniela Bursacovschi},
  journal = {Medical sciences (Basel, Switzerland)},
  year = {2026},
  month = sep,
  url = {https://europepmc.org/article/PMC/PMC13706751},
  note = {CC BY},
}
RIS
TY  - JOUR
TI  - Prediction of New-Onset Atrial Fibrillation in Patients with Acute Myocardial Infarction: A Machine Learning Approach
AU  - Nadejda Chiriliuc
AU  - Alexandru Corlateanu
AU  - Oleg Arnaut
AU  - Ion Esanu
AU  - Lilia David
AU  - Daniela Bursacovschi
PY  - 2026
DA  - 2026/09/30
JO  - Medical sciences (Basel, Switzerland)
UR  - https://europepmc.org/article/PMC/PMC13706751
SN  - 2076-3271
ER  -