Learning for Prevention of Sudden Cardiac Death
- PMID: 33476206
- PMCID: PMC7831613
- DOI: 10.1161/CIRCRESAHA.120.318576
Learning for Prevention of Sudden Cardiac Death
Keywords: Editorials; action potentials; arrhythmias, cardiac; death, sudden; machine learning.
Comment on
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Machine Learned Cellular Phenotypes in Cardiomyopathy Predict Sudden Death.Circ Res. 2021 Jan 22;128(2):172-184. doi: 10.1161/CIRCRESAHA.120.317345. Epub 2020 Nov 10. Circ Res. 2021. PMID: 33167779 Free PMC article.
References
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- Russo AM, Stainback RF, Bailey SR, et al. ACCF/HRS/AHA/ASE/HFSA/SCAI/SCCT/SCMR 2013 appropriate use criteria for implantable cardioverter-defibrillators and cardiac resynchronization therapy: a report of the American College of Cardiology Foundation appropriate use criteria task force, Heart Rhythm Society, American Heart Association, American Society of Echocardiography, Heart Failure Society of America, Society for Cardiovascular Angiography and Interventions, Society of Cardiovascular Computed Tomography, and Society for Cardiovascular Magnetic Resonance. J Am Coll Cardiol. 2013;61:1318–1368. - PubMed
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