Prediction of Incident Atrial Fibrillation in Population with Ischemic Heart Disease Using Machine Learning with Radiomics and ECG Markers
Author:
Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-66958-3_32
Reference22 articles.
1. Khan, M.A., Hashim, M.J., Mustafa, H., et al.: Global epidemiology of ischemic heart disease: results from the global burden of disease study. Cureus (2020). https://doi.org/10.7759/cureus.9349
2. Zoni-Berisso, M., Lercari, F., Carazza, T., Domenicucci, S.: Epidemiology of atrial fbrillation: European perspective. Clin. Epidemiol. 6, 213–220 (2014). https://doi.org/10.2147/CLEP.S47385
3. Volpe, M., Gallo, G.: Atrial fibrillation and ischaemic heart disease: should we use acetylsalicylic acid beside anticoagulants? Eur. Heart J. Suppl. 22 (2020). https://doi.org/10.1093/eurheartj/suaa159
4. Cho, J.R., Angiolillo, D.J.: Percutaneous coronary intervention and atrial fibrillation: the triple therapy dilemma. J. Thromb. Thrombolysis 39 (2015). https://doi.org/10.1007/s11239-014-1132-z
5. Yan, T., Zhu, S., Xie, C., et al.: Coronary artery disease and atrial fibrillation: a bidirectional Mendelian randomization study. J. Cardiovasc. Dev. Dis. 9 (2022). https://doi.org/10.3390/jcdd9030069
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